Seeing Like an Infrastructure: Low-resolution Citizens and the Aadhaar Identification Project
Open accessAbstract
Large-scale data systems play a central role in how state bureaucracies come to know and manage citizens. Such systems are endemically uneven in implementation, producing distributed and exclusionary consequences that are among their most important effects. These systems also operate as infrastructures in the rich and complex sense of the term that has been a core contribution of CSCW to the wider computing and social science fields. Building on James Scott's work on 'seeing like a state', we conceptualize 'seeing like an infrastructure' as a more supple analytic perspective that maps the distributed work and uneven consequences through which designers, bureaucrats, and users (here, citizens) assign or claim representation in the consequential data systems that increasingly shape and define citizenship. Drawing on eighteen months of ethnographic fieldwork into Aadhaar, India's biometrics-based identification project, and studies of infrastructure, marginalization, and citizenship in CSCW and allied fields, we argue that this perspective provides crucial insight into the strategies and mechanisms by which effective access to the basic rights and entitlements of citizenship are granted, claimed, and at times undermined. More specifically, we show how challenges in implementing Aadhaar's three key processes-enrollment, seeding, and authentication-give rise to a spectrum of resolution in which the rights and entitlements of 'high-resolution citizens' are expanded, while those of 'low-resolution citizens' are curtailed.?
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Claims the paper makes
1 of 49 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Elderly people and manual laborers had difficulty recording their fingerprints and irises during Aadhaar enrollment.
“the elderly and manual laborers as they encountered troubles in recording their fingerprints and irises [44,71]”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [44] 44. Reetika Khera (ed.). 2018. Dissent on Aadhaar: Big Data Meets Big Brother. Orient BlackSwan, Delhi.
Not checked in the free run.
- cites [71] 71. Nimmi Rangaswamy and Nithya Sambasivan. 2011. Cutting Chai, Jugaad, and Here Pheri: towards UbiComp for a global community. Personal and Ubiquitous Computing 15, 6: 553-564. https://doi.org/10.1007/s00779-010-0349-x source
The Method and Bangalore study sections describe research with low-income residents, including domestic laborers aged 20–70, but do not discuss Aadhaar enrollment. Searches for Aadhaar, fingerprint and iris recording, and biometric enrollment found no passage addressing the claimed difficulties. (LLM, conf=0.74)
Experimental — accuracy not yet measured
- Findingnone given
For Indians with stable addresses, existing state relationships, and distinct biometric features, enrollment is relatively unproblematic.
“For Indians with stable addresses, existing relationships with the state, and distinct biometric features, enrollment is not difficult to navigate, and is relatively unproblematic.”
Quote in the paperSubstantial claim - Findingreasoning
These solutions showcase how an individual's knowledge and experience of living with their data is deeply intertwined with their positionality in relation to gender, race, class, and caste.
“These solutions showcase how an individual's knowledge and experience of living with their data is deeply intertwined with their positionality in relation to gender, race, class, and caste.”
Quote in the paperNot a substantial claim - Findingown data
When the authors began fieldwork in 2015, only a few pilot projects testing Aadhaar-enabled PDS feasibility existed in India.
“In 2015, when we started fieldwork, there were only a few pilot projects conducted in different parts of India to test the feasibility of Aadhaar-enabled PDS.”
Quote in the paperNot a substantial claim - Findingreasoning
Enrollment difficulties show that fitting into core data categories can be harder for some enrollees than others.
“Enrollment difficulties illustrate how fitting into core data categories can be harder for some enrollees than others.”
Quote in the paperSubstantial claim
- Findingown data
Challenges in implementing Aadhaar's three key processes-enrollment, seeding, and authentication-give rise to a spectrum of resolution.
“we show how challenges in implementing Aadhaar's three key processes-enrollment, seeding, and authentication-give rise to a spectrum of resolution”
- Also stated in: § 1 INTRODUCTION · plain
“We show how these processes produce a spectrum of resolution built around the differential treatment of citizens based on their data representation in the organization of government services.”
Quote in the paperSubstantial claim - Also stated in: § 1 INTRODUCTION · plain
- Findingreasoning
People often find creative and practical solutions to their problems of claiming representation through data.
“They often also find creative and practical solutions to their problems of claiming representation through data.”
Quote in the paperSubstantial claim - Findingreasoning
The spectrum of resolution highlights differential agencies with which citizens navigate their placements in data-driven government services, leaving some on the 'receiving end' of such systems more than others.
“It further highlights differential agencies with which citizens navigate their placements in data-driven government services (leaving some on the 'receiving end' of such systems more than others).”
Quote in the paperSubstantial claim - Findingreasoning
Aashraya fieldworkers stopped their enrollment work in April 2011 because of concerns about the address workaround.
“Aashraya fieldworkers, however, could not overlook these concerns and discontinued their enrollment work in April 2011.”
Quote in the paperNot a substantial claim - Findingreasoning
An Aashraya fieldworker was detained in connection with a homeless person's death because an enrollment slip bearing his name was found on the deceased.
“The problems faced by both sides became apparent when an Aashraya fieldworker was detained in connection with the death of a homeless person.In stark contrast to an established Supreme Court ruling that an introducer cannot be held liable for fraud committed by a bank account holder without other evidence [66], the police detained and started questioning the Aashraya fieldworker because they found”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [66] 66. Ashish Rajadhyaksha (ed.). 2013. In the Wake of Aadhaar: The Digital Ecosystem of Governance in India. Centre for the Study of Culture & Society, Bengaluru. Retrieved from https://pad.ma/documents/PI
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingreasoning
The unevenness in creation and management of Aadhaar-enabled citizen data in bureaucracies shapes access to the rights and entitlements of citizenship, specifically food subsidies and related welfare benefits.
“This unevenness in turn shapes access to the rights and entitlements of citizenship (here, food subsidies and related welfare benefits) such that those of 'high-resolution citizens' are expanded, while those of 'low-resolution citizens' are curtailed.”
Quote in the paperSubstantial claim - Findingown data
Seeding can be messy and can raise significant, sometimes insurmountable, difficulties.
“Moreover, seeding can be messy, raising significant and sometimes insurmountable difficulties.”
Quote in the paperSubstantial claim - Findingreasoning
For homeless people, seeding posed new challenges.
“For the homeless, seeding posed new challenges.”
Quote in the paperNot a substantial claim - Findingcitation
The transition to fingerprint-based authentication was challenging for both bureaucracies and beneficiaries.
“This transition to fingerprint-based authentication was challenging for both bureaucracies and beneficiaries.”
Quote in the paperSubstantial claim - Findingcitation
Delhi's PDS server problems made authentication difficult for PDS beneficiaries in Delhi.
“However, these PDS servers have made authentication difficult for Delhi-based PDS beneficiaries.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [106] 106. UIDAI Committee on Biometrics. 2009. Biometrics Design Standards for UID Applications. New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/vhhjas2cnrafupt/biometrics_standards_committee-report.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingreasoning
Because the Delhi pilot's design did not account for biometric mismatches, rightful beneficiaries whose fingerprints failed were labeled as people who never came to the shop.
“Since this work remained unaccounted in the system's design, rightful beneficiaries whose fingerprints did not match were labeled as people who never came to the shop.”
Quote in the paperSubstantial claim - Findingcitation
In January 2018, within a month of fully switching to the new process, breakdowns excluded more than 100,000 beneficiaries in Delhi.
“In January 2018, within a month of completely switching to the new process, breakdowns emerged excluding more than 100,000 beneficiaries [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] 7. Gaurav Vivek Bhatnagar. 2018. PDS Shopkeepers in Delhi Found Diverting Rations by Misusing Point of Sale Machines. The Wire. Retrieved from https://thewire.in/government/pds-shopkeepers-delhi-found-diverting-rations- misusing-point-sale-machines
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingreasoning
Residential address, or its absence, combined with the project's scale, raised difficulties in authentication.
“Here, residential address (or lack thereof) combined with the very scale of the project to raise difficulties once again.”
Quote in the paperSubstantial claim - Findingreasoning
These misclassified beneficiaries were removed from Aadhaar-enabled PDS in Delhi.
“Rendered invisible, such beneficiaries were removed from Aadhaar-enabled PDS in Delhi.”
Quote in the paperSubstantial claim - Findingreasoning
In the Delhi pilot, the data system omitted a column for beneficiaries who visited but failed biometric authentication, recording only successful authentications and non-visits.
“they […] said we know there is a problem in the software and we only capture these two data [in first and third column].”
- Also stated in: § 4.3 Authentication: Verifying Uniqueness · plain
“Since January [2016], we have data of all 42 shops and there is a 0% error rate [in authentications], meaning that in column two, there is not a single entry.”
Quote in the paperSubstantial claim - Also stated in: § 4.3 Authentication: Verifying Uniqueness · plain
- Findingreasoning
When data of beneficiaries who struggled with authentication at Delhi Fair Price Shops was not stored, they were eventually interpreted as having forsaken their entitlements.
“For example, when the data of beneficiaries who struggled with authentication at Fair Price Shops in Delhi was not stored, they were eventually interpreted as having 'forsaken their entitlements.'”
Quote in the paperSubstantial claim - Findingnone given
Beneficiaries who received cash felt empowered to choose the quality of food grains they purchased.
“While beneficiaries who received cash felt empowered to make choices regarding the quality of food grains they purchased, beneficiaries who did not receive cash struggled to make ends meet.”
Quote in the paperNot a substantial claim - Findingown data
In the Chandigarh transition to Aadhaar-enabled cash-based PDS, some beneficiaries experienced gains in efficiency and access.
“For some, this process worked as advertised, instantiating welcome gains in efficiency and access.”
Quote in the paperNot a substantial claim - Findingnone given
Beneficiaries who did not receive cash struggled to make ends meet.
“While beneficiaries who received cash felt empowered to make choices regarding the quality of food grains they purchased, beneficiaries who did not receive cash struggled to make ends meet.”
Quote in the paperNot a substantial claim - Findingcitation
For other beneficiaries in the Chandigarh transition, the process was less straightforward.
“For others, the process was less straightforward.”
Quote in the paperNot a substantial claim - Interpretationcitation
The 2015 conversations show that activists had only begun to articulate their specific concerns.
“These conversations from 2015 indicate the initial position of activists; they had only begun to articulate their specific concerns [44,72].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [44] 44. Reetika Khera (ed.). 2018. Dissent on Aadhaar: Big Data Meets Big Brother. Orient BlackSwan, Delhi.
Not checked in the free run.
- cites [72] 72. Ursula Rao. 2013. Biometric Marginality. Economic and Political Weekly 48, 13: 72-77. Retrieved from http://www.epw.in/review-urban-affairs/biometric-marginality.html
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Being placed in core data categories enables citizens to strategically employ their visibility to represent themselves to and make demands of the state.
“Similarly, being placed in core data categories enables citizens to strategically employ their visibility to represent themselves to and make demands of the state.”
Quote in the paperSubstantial claim - Interpretationreasoning
Aadhaar's focus on inclusivity breaks down when its imagined enrollee, who always has enrollment information available, meets the diversity of actual enrollees.
“This focus on inclusivity breaks down, however, in encounters of dissonance between Aadhaar's imagined enrollee (who has this enrollment information always already available) and the diversity of its actual enrollees.”
Quote in the paperSubstantial claim - Premisecitation
The hourglass architecture is the core organizational principle used to operationalize Aadhaar as a public data infrastructure.
“This architecture is the core organizational principle used to operationalize Aadhaar as a public data infrastructure [86].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [86] 86. Harikishan Sharma. 2020. Explained: What is the 'One Nation, One Ration Card' system? The Indian Express. Retrieved from https://indianexpress.com/article/explained/one-nation-one-ration-card-system-explained-6410179/
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
Aadhaar produces a new form of visibility by standardizing resident data.
“Aadhaar produces a new form of this visibility by standardizing resident data.”
Quote in the paperSubstantial claim - Premisereasoning
Although their resolution is configured by their data, people are not passive recipients of automated data-driven decisions.
“Although their resolution is configured by their data, people are not passive recipients of automated data-driven decisions.”
Quote in the paperSubstantial claim - Premisecitation
Aadhaar uses an hourglass architecture in which minimal standardization at the waist enables innovation above and below.
“It implements an hourglass architecture where: minimal standardization at the waist of a layered architecture (e.g. the IP layer of the internet) enables burgeoning innovation above (e.g.apps) and below (e.g.wireless, wired networks, etc.) it.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57:224]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
These process breakdowns and workarounds indicate the challenges faced by people without identity documents during Aadhaar enrollment.
“Such breakdowns in process and subsequent workarounds are indicative of the challenges faced by people with no identity documents during Aadhaar enrollment.”
Quote in the paperSubstantial claim - Premisecitation
People may choose to be low-resolution citizens for their own purposes in the face of long histories of surveillance and tracking.
“They may choose to be low-resolution citizens for their own purposes in the face of long histories of surveillance and tracking [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] 14. Simone Browne. 2015. Dark Matters: On the Surveillance of Blackness. Duke University Press, Durham, NC. source
- Interpretationreasoning
In its appropriation, knowing residents as citizens becomes a matter of identifying, managing, and interpreting their Aadhaar-enabled data.
“In its appropriation, knowing residents as citizens becomes a matter of identifying, managing, and interpreting their Aadhaar-enabled data.”
Quote in the paperSubstantial claim - Interpretationcitation
Challenges of achieving visibility through older identification practices have been carried forward into Aadhaar, despite its claim to overcome such exclusions.
“Although this critique overlooks Aadhaar's crucial role in standardizing identification procedures in India, it points to the long history of issues faced by people with no identity documents, and how challenges of achieving visibility through older identification practices have in fact been carried forward into the new system, despite its very claim to overcome such exclusions [89].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [89] 89. Ranjit Singh and Steven J. Jackson. 2017. From Margins to Seams: Imbrication, Inclusion, and Torque in the Aadhaar Identification Project. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. source
- Interpretationreasoning
The infrastructure for building and managing distributed data about citizens produces their resolution in state services.
“we argue that the infrastructure for building and managing this distributed data about citizens produces their resolution in state services.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [26] 26. Virginia Eubanks. 2017. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin's Press, New York.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [77] 77. Evelyn S Ruppert. 2008. "I Is; Therefore I Am": The Census as Practice of Double Identification. Sociological Research Online 13, 4. Retrieved from http://www.socresonline.org.uk/13/4/6.html source
- Premisecitation
Aadhaar has been increasingly made central to distributing uniquely identified know-your-resident information on the Indian population.
“Aadhaar, as a putatively 'clean' database devoid of duplicate entries, has been increasingly made central to the distribution of uniquely identified know-your-resident information (name, age, gender, and address) on the Indian population.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [100] 100. UIDAI. 2012. Aadhaar Enabled Service Delivery. New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/zk6zd7p53prw0wh/whitepaper_aadhaarenabledservice_delivery.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Forms of marginality and exclusion move from old identification practices to new ones.
“Forms of marginality and exclusion thus travel from old to new identification practices.”
Quote in the paperSubstantial claim - Interpretationreasoning
Aashraya's difficulties enrolling homeless people show that the visibility offered by new infrastructures like Aadhaar depends on prior relationships with the state.
“Aashraya's challenges in enrolling the homeless reveals how visibilities afforded by new infrastructures like Aadhaar are contingent upon prior relationships with the state.”
Quote in the paperSubstantial claim - Premisereasoning
People must fall within core data categories to be seen as citizens.
“People must fall within core data categories to be seen as citizens.”
Quote in the paperSubstantial claim - Premisecitation
Practically achieving visibility requires efforts of both bureaucrats and citizens.
“Practically achieving visibility requires efforts of both bureaucrats and citizens [31,76].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [31] 31. Ian Hacking. 2006. Making Up People. London Review of Books 28, 16: 23-26.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [76] 76. RTF Campaign. 2019. RTF Update about Regional Convention of Right to Food Campaign, two more starvation deaths in Telangana and one in Odisha, RTI response to our questions on reported starvation deaths, Jan Sarokar - People's Agenda 2019, Manifestoes comparison, Maternity E. RTF Updates Google Group. Retrieved May 20, 2020 from https://groups.google.com/d/msg/rtf-updates/tuDunVcMU_Y/i4Lf7Oe1BAAJ
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Residential address remains an exclusionary filter criterion in bureaucratic procedures that expect citizens to have a place of residence.
“Residential address remains an exclusionary 'filter criteria' in the design of bureaucratic procedures, which expect citizens to have a place of residence.”
Quote in the paperSubstantial claim - Interpretationreasoning
Resolution sets the terms and the limits of data-driven state-citizen relations.
“Resolution thus sets the terms and the limits of data-driven state-citizen relations.”
Quote in the paperSubstantial claim - Premisecitation
Aadhaar standardizes how Indian residents interact with an ecosystem of public and private services using their Aadhaar number and personal data.
“It standardizes the way Indian residents interact with an ecosystem of public and private services using their Aadhaar number and personal data [100].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [100] 100. UIDAI. 2012. Aadhaar Enabled Service Delivery. New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/zk6zd7p53prw0wh/whitepaper_aadhaarenabledservice_delivery.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
When people's data is not available, miscategorized, or placed in residual categories, they become harder to see.
“When their data is not available, miscategorized, or placed in residual categories [49,92], they become harder to see.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [49] 49. Ann Light. 2007. The Future of Computing-Visions and Reflections. Oxford. Retrieved from https://www.oii.ox.ac.uk/archive/downloads/publications/FD11.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [92] 92. Susan Leigh Star. 1999. The Ethnography of Infrastructure. American Behavioral Scientist 43, 3: 377-391. source
- Interpretationreasoning
Successful Aadhaar authentication depends on effective coordination among multiple organizations and many moving parts of the Indian bureaucracy.
“Like seeding, successful authentication relies on effective coordination between multiple organizations and many moving parts of the Indian bureaucracy.”
Quote in the paperSubstantial claim - Interpretationreasoning
Being excluded from Aadhaar creates challenges of claiming membership and access that multiply across government, financial, and telecommunication services.
“Given its role in standardizing delivery of services in India, being excluded from Aadhaar (unlike other more targeted or single-function identity documents, like voter ID cards) raises challenges of claiming membership and access that quickly multiply and ramify across multiple spheres from government services to financial and telecommunication services.”
Quote in the paperSubstantial claim - Interpretationreasoning
Consent for Aadhaar data circulation was often coerced by making Aadhaar mandatory to access government services.
“However, consent was often coerced by making Aadhaar mandatory to access government services.”
Quote in the paperSubstantial claim - Interpretationreasoning
The paper identifies three mechanisms that configure resolution: registration, circulation, and interpretation.
“Together they point to three mechanisms that configure resolution: (1) Registration: The process of producing initial resolution of a citizen by torquing their identity into alignment with core data categories.(2) Circulation: The movement of data across databases that produces resolution on a spectrum of high to low resolution as data systems imbricate with existing state practices.(3)”
Quote in the paperSubstantial claim - Interpretationnone given
Resolution is contingent on how the problem of managing citizens is formulated, the affordances and limits of available data-processing techniques, and the quality of available citizen data.
“Resolution is contingent upon how the problem of managing citizens is formulated, the affordances and limits of available techniques to process data, and the quality of available citizen data.”
Quote in the paperNot a substantial claim - Interpretationreasoning
This ability determined which beneficiaries were included or excluded from cash-based PDS.
“This ability actively determined who among beneficiaries are included/excluded from cash based PDS.”
Quote in the paperSubstantial claim - Interpretationreasoning
This had significant, even life-threatening, consequences for citizens who previously accessed food grains through Fair Price Shops.
“This had significant, even life-threatening, consequences for citizens who previously had access to food grains through Fair Price Shops.”
Quote in the paperSubstantial claim - Premisecitation
At the beginning of 2016, the Department of Food and Supplies in Chandigarh reported that 24.8% of PDS-eligible families had not received payments because their Aadhaar numbers were not properly seeded in their bank accounts.
“At the beginning of 2016, the Department of Food and Supplies in Chandigarh reported that 24.8% of PDS-eligible families had not received their payments because their Aadhaar numbers were not properly seeded in their bank account [56].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] 56. Karthik Muralidharan, Paul Niehaus, and Sandip Sukhtankar. 2017. Direct Benefits Transfer in Food: Results from One Year of Process Monitoring in Union Territories. San Diego. Retrieved from https://bit.ly/2tKLUrD
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
An ISB study found that Point of Sale machines in Delhi encountered frequent breakdowns due to outdated PDS servers.
“A study conducted by researchers from the Indian School of Business (ISB) noted that the Point of Sale machines encountered frequent breakdowns because of outdated PDS servers.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [106] 106. UIDAI Committee on Biometrics. 2009. Biometrics Design Standards for UID Applications. New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/vhhjas2cnrafupt/biometrics_standards_committee-report.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The seeding stories show the cascading impact of circulating Aadhaar data.
“Our stories of seeding showcase the cascading impact of the circulation of Aadhaar data.”
Quote in the paperSubstantial claim - Premisecitation
In Andhra Pradesh, a government survey in May 2015 reported that fingerprints for the majority of beneficiaries did not match during authentication in one district.
“Even in Andhra Pradesh, where experiments with biometrics have been ongoing since 2006 [54], a government survey in May 2015 reported that fingerprints for the majority of beneficiaries did not match during authentication in one of the districts [90].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [90] 90. Tarangini Sriraman. 2018. In Pursuit of Proof: A History of Identification Documents in India. Oxford University Press, New Delhi.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Citizens who lacked an Aadhaar number, did not consent to data sharing, or lacked ability to navigate data circulation struggled to maintain connections between databases and were rendered in lower resolution.
“Citizens who did not have an Aadhaar number or did not consent to data sharing or lacked this ability to navigate data circulation struggled in maintaining the connections between databases and were rendered in lower resolution.”
Quote in the paperSubstantial claim - Interpretationreasoning
If beneficiaries who visited but failed biometric authentication are removed as duplicates or as having forsaken entitlements, the system records only successful authentications and thus appears highly efficient.
“If beneficiaries who came to the shop, but their biometrics did not match are removed based on the interpretation of their data as 'duplicates' or 'beneficiaries who have forsaken their entitlements', the system will only record transactions where Aadhaar authentication worked and thereby reflect high efficiency.”
Quote in the paperSubstantial claim - Interpretationreasoning
In a distributed implementation, authentication reliability is limited by the weakest link in the network.
“In the distribution of its implementation across organizations, authentication is only as reliable as the weakest link in the network.”
Quote in the paperSubstantial claim - Interpretationnone given
Categorical judgments on citizen data deeply shape citizens' membership in and access to government services.
“These categorical judgments on citizen data deeply shape their membership in and access to government services.”
Quote in the paperSubstantial claim - Interpretationreasoning
Aadhaar authentication is sustained by a fragile and uneven imbrication of UIDAI, India Post, governmental and private agencies, mobile phones, Fair Price Shops, Point of Sale machines, PDS servers, and internet connectivity.
“Aadhaar authentication is held together by a fragile and uneven imbrication of UIDAI, India Post, governmental and private agencies, mobile phones, Fair Price Shops, Point of Sale machines, PDS servers, and internet connectivity.”
Quote in the paperSubstantial claim - Interpretationreasoning
Incorrect address on Aadhaar records can make it difficult for citizens to claim place-based entitlements.
“Incorrect address on Aadhaar records can make it difficult for citizens to claim their place-based entitlements.”
Quote in the paperSubstantial claim - Interpretationreasoning
For those less digitally competent, this circulation became a trap that suspended or removed their often relied upon citizenship entitlements.
“For those less digitally competent, this circulation became a trap, effectively suspending or removing their often relied upon citizenship entitlements.”
Quote in the paperSubstantial claim - Interpretationreasoning
When citizens or state bureaucracies cannot meet expectations of managing Aadhaar-based data, citizens are rendered low-resolution and subject to losses and exclusions.
“In situations where either of them is unable to meet these expectations, citizens are rendered low-resolution citizens, subject to the losses and exclusions that such a status confers.”
Quote in the paperSubstantial claim - Interpretationreasoning
These stories foreground the uneven distribution of breakdowns in transitioning from paper-based ration cards to digital Aadhaar in PDS.
“These stories foreground the uneven distribution of breakdowns in transitioning from a paperbased standard for identification (the ration card) to a digital standard for identification (Aadhaar) in PDS.”
Quote in the paperSubstantial claim - Interpretationreasoning
For those able to understand and manage this circulation, Aadhaar provided new efficiencies and securities in last mile delivery of public entitlements.
“For those able to understand and manage this circulation, Aadhaar provided new efficiencies and securities in last mile delivery of public entitlements.”
Quote in the paperSubstantial claim - Interpretationreasoning
The work of interpreting citizen data is crucial for ongoing efforts at effective inclusion of citizens in Aadhaar-enabled services.
“This double-edged work of interpreting citizen data, thus, is crucial for ongoing efforts at effective inclusion of citizens in Aadhaar-enabled services.”
Quote in the paperSubstantial claim - Interpretationreasoning
Resolution is not binary but a spectrum that mutates over time and is layered across organized practices in the imbrication of data systems with government services.
“Leveraging an infrastructure to manage state-citizen relations does not produce resolution as a binary-either low or high-rather it emerges as a spectrum, mutating in time, and layered across a variety of organized practices in the imbrication of data systems with existing government services.”
Quote in the paperSubstantial claim - Interpretationreasoning
Navigating periodic authentication breakdowns depends on work by street-level bureaucrats appropriating Aadhaar and by citizens maintaining access to services.
“Successful navigation of these periodic breakdowns depends on two crucial forms of work: the work performed by street-level bureaucrats in appropriating Aadhaar to deliver government services, and the work citizens as beneficiaries are frequently called to do in the face of failed (or mis-categorized) authentications to maintain their access to these services.”
Quote in the paperSubstantial claim - Premisecitation
Once existing data is seeded with Aadhaar numbers, it is bureaucratically treated as unique, while the rest is rendered duplicate or ghost entries.
“Once existing data is seeded with Aadhaar numbers, it is bureaucratically interpreted as 'unique,' while the rest is rendered 'duplicate' or 'ghost' entries [99].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [99] 99. UIDAI. 2011. Aadhaar Authentication Framework (Version 1.0). New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/srf98k8kb2he7dj/d2_authentication_framework_v1.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Delhi ran a pilot in early 2016 to test Aadhaar authentication in 42 Fair Price Shops.
“It ran a pilot project in early 2016 to test the feasibility of using authentication in 42 Fair Price Shops.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Chetan's account shows that incorrect data such as makeshift entries can make it harder for citizens to represent themselves to state bureaucracies.
“Thus, Chetan's account above points to how incorrect data such as makeshift data entries can make it harder for citizens to effectively represent themselves to state bureaucracies.”
Quote in the paperSubstantial claim - Premisecitation
In another district, more than half of beneficiaries were reported to have collected their entitlement without authentication because the shop owner did not know how to use the machine.
“In another district, more than half of the beneficiaries were reported to have collected their entitlement without authentication, because the shop owner did not know how to use the machine [90:6].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [90:6]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The paper's field stories show that distributed and collaborative practices of delivering government services are shaped by data systems such as Aadhaar.
“The struggles narrated above offer a window into how distributed and collaborative practices of delivering government services are shaped by data systems such as Aadhaar.”
Quote in the paperSubstantial claim - Interpretationnone given
Once citizens can be uniquely identified, it becomes easier to collate data about them across databases to produce high resolution when their data is correct.
“Once citizens can be uniquely identified, it becomes easier to collate data about them across various databases to produce high-resolution when their data is correct.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The messy intertwining of Aadhaar with PDS and banking services produced networked breakdowns that amplified exclusions or workarounds from enrollment.
“The messy imbrication of Aadhaar with PDS and banking services produced a set of networked breakdowns further amplifying the effects of exclusions or messy workarounds during enrollment.”
Quote in the paperSubstantial claim - Interpretationreasoning
Even after obtaining an Aadhaar number, the effects of makeshift address entries grow as Aadhaar use expands.
“Even after securing an Aadhaar number, the consequences of makeshift entries for residential address magnify as the use of Aadhaar expands.”
Quote in the paperSubstantial claim - Interpretationreasoning
These citizens became harder to see in the reorganization of PDS through Aadhaar.
“They became harder to see in the reorganization of PDS through Aadhaar.”
Quote in the paperSubstantial claim - Interpretationreasoning
For those lacking stable addresses, state relationships, and distinct biometric features, failure to enroll perpetuates a widening circle of consequences.
“However, for those who do not have them, the failure to enroll, despite the project's core rhetoric of inclusion, perpetuates a vicious and rapidly widening circle of consequences.”
Quote in the paperSubstantial claim - Premisecitation
The UIDAI responded to these delays by encouraging enrollees to download an e-Aadhaar letter using a One-Time-Password sent to the mobile number on record.
“The UIDAI responded to these delays by encouraging enrollees to download an 'e-Aadhaar' letter using a One-Time-Password sent to the mobile number on record [103].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [103] 103. UIDAI. 2015. Standard Protocol Covering the Approach and Process for Seeding Aadhaar Numbers in Service Delivery Databases. New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/jxu98lpap1a4qk8/Aadhaar Seeding June 2015 v1.1.pdf [103
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Data infrastructures are often deployed to systemically target marginal and minoritized communities that have long histories of surveillance and tracking.
“Such infrastructures are often deployed to systemically target marginal and minoritized communities that have already been subject to long histories of surveillance and tracking [14].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] 14. Simone Browne. 2015. Dark Matters: On the Surveillance of Blackness. Duke University Press, Durham, NC. source
- Interpretationnone given
In Seeing like an Infrastructure, the work of seeing is performed by frontline workers and users, including citizens.
“| Who does this work? | Planners and state officials | Frontline workers and users (here, citizens) |”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 53
- May combine two claims. 49
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe authors have also met and interviewed many high-resolution citizens for whom Aadhaar works seamlessly when accessing services.
“While in our field stories we focus on low-resolution citizens, we have also met and interviewed many high-resolution citizens for whom Aadhaar works seamlessly when accessing services.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
FindingreasoningHigh-resolution citizens find it easier to align their data with their way of life.
“High-resolution citizens find it easier to align their data with their way of life.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningLow-resolution citizens struggle to overcome the ineluctable differences between their data and their way of life.
“Low-resolution citizens struggle to overcome the ineluctable differences between their data and their way of life.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe first author has an Aadhaar number and has successfully authenticated his identity using it several times.
“The first author has an Aadhaar number and has successfully authenticated his identity using it several times.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningIn this spectrum of resolution, the rights and entitlements of 'high-resolution citizens' are expanded, while those of 'low-resolution citizens' are curtailed.
“in which the rights and entitlements of 'high-resolution citizens' are expanded, while those of 'low-resolution citizens' are curtailed.”
- Also stated in: § 1 INTRODUCTION · plain
“This unevenness in turn shapes access to the rights and entitlements of citizenship (here, food subsidies and related welfare benefits) such that those of 'high-resolution citizens' are expanded, while those of 'low-resolution citizens' are curtailed.”
Quote in the paperSubstantial claim- Also stated in: § 1 INTRODUCTION · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataDocumentary analysis of government reports, legal documents, and news stories revealed how Aadhaar was envisioned to standardize citizen data and renovate last mile delivery of government services, such as the Public Distribution System (PDS).
“Documentary analysis [10] of these primary and secondary sources revealed how Aadhaar was envisioned to standardize citizen data and renovate last mile delivery of government services, such as, the Public Distribution System (PDS): a government scheme to provide subsidized food grains to belowpoverty line (BPL) families in India.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] 10. Glenn A. Bowen. 2009. Document Analysis as a Qualitative Research Method. Qualitative Research Journal 9, 2: 27- 40. https://doi.org/10.3316/QRJ0902027 source
May combine two claims.
Findingown dataWhile for high-resolution citizens Aadhaar often works in its designed way, for low-resolution citizens it breaks down in unevenly distributed ways.
“While for high-resolution citizens Aadhaar often works in its designed way, for low-resolution citizens it breaks down in unevenly distributed ways.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataRight to Food activists had mixed responses to the plans for Aadhaar-enabled PDS in 2015.
“At the time, Right to Food activists, who track the implementation of PDS in India, had mixed responses to these plans.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationIn the Right to Food survey, many beneficiaries did not understand the transition steps and had not received any cash.
“As evidenced in the Right to Food survey, many beneficiaries did not understand the steps involved in the transition and had not received any cash.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingnone givenIn the paper's stories, homeless people with no identity documents are at the lowest end of the resolution spectrum, often invisible and struggling for state recognition, while beneficiaries receiving cash-based PDS subsidies in bank accounts are at the highest end, bureaucratically recognized and full members of India's formal economy.
“At the highest end are beneficiaries receiving cash based PDS subsidies in their bank accounts.They are not only bureaucratically recognized as citizens but are also full-fledged members of India's formal economy.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingnone givenThe final barrier confronting citizens is the challenge of effective authentication.
“The final barrier confronting citizens is the challenge of effective authentication.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningSome beneficiaries who had purportedly completed the steps had either not checked their bank accounts or were looking for cash in the wrong account.
“Others who had purportedly completed the steps had either not checked their bank accounts in the four months since the transition or were looking for cash in the wrong account.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningWhile most citizens have been able to enroll in Aadhaar, others struggled to provide data even for the simplified categories, and registration in and access to other Aadhaar-based services exacerbated this by requiring more data for new categories evaluating eligibility during seeding and validity of claims during authentication.
“While most citizens have been able to enroll into Aadhaar, others struggled to provide data even for these simplified categories.Furthermore, citizens' registration in and access to other Aadhaar-based services exacerbated this challenge because it involved providing more data for new categories of evaluating their eligibility for services (during seeding) and the validity of their claims to”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningAadhaar's design team conceived a minimal combination of demographic and biometric data categories necessary for registration and sufficient to represent oneself in other services, simplifying data representation to foster inclusion; simplification excludes but can also serve to include.
“Members conceived of a minimal combination of demographic and biometric data categories necessary for registration in Aadhaar and sufficient to represent oneself in other services.They simplified data representation of individuals to foster inclusion.Simplification excludes but can also serve to include.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingown dataUsing an NGO's address for a homeless person's Aadhaar can exclude them from voting in their actual constituency and from PDS in their actual place of residence.
“Suppose we put in Aashraya address in South Delhi for a homeless person who lives in North Delhi.This is a problem because if, for example, [he gets his Voter ID based on Aadhaar] he would only be eligible to vote for a constituency in South Delhi instead of North Delhi.Or worse, this person may not be able to lay any claim on where he lives in North Delhi, despite the fact that he has been living”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenWhen the work of representing and claiming representation through data is misaligned, it produces visibility in low resolution.
“On the other hand, when the work of representing and claiming representation through data is misaligned, it produces visibility in low resolution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenWhen efforts to represent and claim representation through data align, they produce visibility in high resolution.
“On the one hand, when the efforts to represent and claim representation through data align, they produce visibility in high resolution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe UIDAI estimated that only 25% of benefits reach PDS beneficiaries.
“the UIDAI estimated that only 25% of benefits reach PDS beneficiaries [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] 96. John Torpey. 2000. The Invention of the Passport: Surveillance, Citizenship, and the State. Cambridge University Press, Cambridge. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll respondents have been anonymized and their affiliations masked to protect privacy.
“All respondents have been anonymized and their affiliations masked to protect privacy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenData systems have inevitable constraints in representing complex lifeworlds of people.
“Data systems have inevitable constraints in representing complex lifeworlds of people.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenLarge-scale data systems are endemically uneven in implementation, and this unevenness produces distributed and exclusionary consequences that are among their most important effects.
“Such systems are endemically uneven in implementation, producing distributed and exclusionary consequences that are among their most important effects.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe spectrum between low- and high-resolution is crucial for analyzing the politics and uneven consequences of data infrastructures.
“This spectrum between low-and high-resolution is crucial for analyzing the politics and uneven consequences of data infrastructures.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningA person's resolution and their efforts to work with, around, and against it are the conditions for making citizenship claims and holding the state accountable in delivery of services.
“A person's resolution and their efforts to work with, around, and against it are the conditions for making citizenship claims and holding the state accountable in delivery of services.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationLarge-scale data systems are central to contemporary governance and to how state bureaucracies know and manage citizens, including last-mile delivery of services such as identity verification and welfare distribution.
“Large-scale data systems have become increasingly central to the work of contemporary governance, including in the last mile delivery of government services such as citizen identity verification and distribution of welfare [3,110].”
- Also stated in: § Abstract · plain
“Large-scale data systems play a central role in how state bureaucracies come to know and manage citizens.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] 3. Philip Alston. 2019. Report of the Special rapporteur on extreme poverty and human rights. Geneva: Office of the United Nations High Commissioner for Human Rights (OHCHR). Retrieved from https://undocs.org/A/74/493
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [110] 110. Wire Staff. 2015. 'Most Aadhar Cards Issued to Those Who Already Have IDs.' The Wire. Retrieved from https://thewire.in/law/most-aadhar-cards-issued-to-those-who-already-have-ids
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § Abstract · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe analysis of field stories followed a grounded theory approach, beginning with substantive description of the uneven implementation of key processes and moving to the more abstract analytic perspective of seeing like an infrastructure.
“Our analysis of field stories followed a grounded theory approach [18], beginning with substantive description of the uneven implementation of these key processes and its consequences and moving to more abstract analytic perspective of seeing like an infrastructure.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] 18. Juliet Corbin and Anselm Strauss. 2015. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Sage Publications, Thousand Oaks, CA.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationTransgendered people experienced discrimination at enrollment centers and challenges in certifying their gender identity.
“the transgendered who experienced discrimination at enrollment centers and challenges in effectively certifying their gender identity [67,83]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [67] 67. Ashish Rajadhyaksha and Arun Menon. 2013. The Social Category of the "Introducer." In In the Wake of Aadhaar: The Digital Ecosystem of Governance in India, Ashish Rajadhyaksha (ed.). Centre for the Study of Culture & Society, Bengaluru, 131-155. Retrieved from https://pad.ma/documents/PI PACM on Human-Computer Interaction, Vol. 5, No. CSCW2, Article 315, Publication date: October 2021.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [83] 83. Seetha. 2017. Evaluating direct cash transfers Part-II: Correct the mistakes and go ahead, junking PDS reforms wholesale is no solution. FirstPost. Retrieved from https://www.firstpost.com/business/evaluating-direct-cash- transfers-part-ii-correct-the-mistakes-and-go-ahead-junking-pds-reforms-wholesale-is-no-solution-4018771.html
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationHomeless people faced difficulties recording biometric data and often lacked proofs of identity and address.
“the homeless, who not only faced troubles in recording their biometric data, but also often lacked proofs of identity and address [65]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65] 65. PTI. 2013. Andhra Pradesh Postal Department faces problems in delivery of Aadhaar card. NDTV. Retrieved from http://www.ndtv.com/article/south/andhra-pradesh-postal-department-faces-problems-in-delivery-of-aadhaar-card- 341913
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenVisibility also manifests the existence of a person in a population; it is a recognition of their rights, entitlements, and obligations; it is a condition for participation in a democracy.
“We argue that visibility also manifests the existence of a person in a population.It is a recognition of their rights, entitlements, and obligations; it is a condition for participation in a democracy.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenThis standardization is intended to reduce the role of intermediaries and thereby limit corruption in last mile delivery of government services.
“This standardization is intended to minimize the role of intermediaries and thus limit corruption in the last mile delivery of government services.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAadhaar is intended to uniquely identify Indian residents for any public or private service.
“Aadhaar is designed to uniquely identify Indian residents for any public/private service.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [57:224]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenResolution is a contingent and accountable relationship between actors mediated through data infrastructures over time and across places.
“To conclude, resolution-and the affordances and limits that it confers-is a contingent and accountable relationship between actors mediated through data infrastructures over time and across places.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe more alignment between efforts to represent and claim representation through data, the higher the resolution.
“The more alignment there is between the efforts to represent and claim representation through data, the higher is the resolution.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Aadhaar Authentication Framework documents five types of user authentication using different combinations of demographic information, mobile numbers, and biometric information.
“The Aadhaar Authentication Framework [98] documents five types of user authentications, leveraging different combinations of demographic information, mobile numbers, and biometric information.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] 98. UIDAI. 2010. UIDAI Strategy Overview: Creating a Unique Identity Number for Every Resident in India. New Delhi: Unique Identification Authority of India. Retrieved from https://www.dropbox.com/s/eg9p5uzucsd9t5r/UIDAI_Strategy_Overview_2010.pdf
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationnone givenIn experiences of data-driven marginalization, 'torque' pulls low-resolution citizens back in their efforts to align with core data categories, while in experiences of data-driven efficiency, 'torque' pushes high-resolution citizens forward as they align with core data categories.
“In experiences of data-driven marginalization in Aadhaar-based services, 'torque' pulls low-resolution citizens back in their efforts to overcome the challenges of aligning with core data categories.”
- Also stated in: § 5 · plain
“In experiences of data-driven efficiency through Aadhaar, 'torque' pushes highresolution citizens forward as they experience alignment with core data categories.”
Quote in the paperSubstantial claim- Also stated in: § 5 · plain
May combine two claims.
Interpretationnone givenCitizens are required to express identity in Aadhaar's core data categories and to use them effectively to claim welfare entitlements and wider rights of citizenship, an ability not equally distributed.
“If citizens are expected to express their identity in core data categories prescribed by Aadhaar, they are also required to use them effectively to claim welfare entitlements and wider rights of citizenship-an ability that is also not equally distributed.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningMany citizens could access PDS entitlements when it was a standalone service using paper ration cards, but their access was curtailed when they failed to manage Aadhaar data circulation.
“Many of these citizens were able to access their PDS entitlements when it was organized as a standalone government service that relied on paper-based ration cards.Their access was curtailed when they failed to manage the circulation of their Aadhaar data.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBeneficiaries who repeatedly fail authentication and fall into the residual category of 'duplicate' must prove both their uniqueness and that they have not forsaken their entitlements.
“Beneficiaries who fall into the residual category of 'duplicate' because of repeated authentication failures (false negatives) over time will not only have to prove that they are unique, but also that they have not forsaken their entitlements.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenCirculation is agnostic to the correctness of collected data and to citizens' resolution; the flow of correct data increases resolution and incorrect data decreases it.
“Circulation is agnostic to the correctness of collected data and the resolution of citizens, the flow of correct data increases and incorrect data decreases resolution.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningFalling into 'unique' or 'duplicate' categories depends on the nature of available data and the techniques used for interpretation; incorrect data makes interpretation harder, and how and when data is stored or not stored shapes interpretive possibilities.
“However, falling into any of these categories is not given.It depends on: (1) the nature of the available data; and (2) the techniques used for interpretation.Starting with the nature of available data, incorrect data inevitably makes interpretation harder.Furthermore, how, and when data is stored or not stored also shapes the possibilities of interpretation.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationState governments in Delhi, Andhra Pradesh, and Rajasthan are seeding Aadhaar numbers into their PDS databases and plan to distribute subsidized food grains after biometric authentication using electronic Point of Sale machines with fingerprint readers.
“Apart from pilot projects on cash based PDS in union territories such as Chandigarh [55], states governments across the country such as in Delhi, Andhra Pradesh, and Rajasthan are seeding Aadhaar numbers into their PDS database.They plan to distribute subsidized food grains after authenticating beneficiaries using electronic Point of Sale machines with fingerprint readers [60,81,112].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [60] 60. PIB. 2017. Individual beneficiaries having Ration Cards under NFSA to furnish proof of possession of Aadhaar number or undergo Aadhaar authentication to receive subsidies under NFSA. Press Information Bureau, Government of India. Retrieved January 1, 2018 from http://pib.nic.in/newsite/PrintRelease.aspx?relid=158329
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [81] 81. James C Scott. 2017. Against the Grain: A Deep History of the Earliest States. Yale University Press, New Haven and London.
- cites [112] 112. Anumeha Yadav. 2016. Seven reasons why Parliament should debate the Aadhaar bill (and not pass it in a rush). Scroll.in. Retrieved from http://scroll.in/article/804922/seven-reasons-why-parliament-should-debate-the-aadhaar- bill-and-not-pass-it-in-a-rush
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThe politics of resolution is intertwined with the prescribed purpose of the infrastructure that produces it; high resolution in welfare distribution means inclusion, while in criminal investigations or citizen-immigrant differentiation it implies greater potential for surveillance and privacy invasion.
“Here the politics of resolution is deeply intertwined with the prescribed purpose of the infrastructure that produces it.For example, on one hand, high resolution in the context of a public data infrastructure geared towards distributing welfare means inclusion.On the other hand, it implies greater potential of surveillance and invasion of privacy when the same infrastructure is used for criminal”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningCirculation requires abstracting contingencies of registration to standardize data as stable representations of citizens; correct data underlies data-driven efficiencies in last-mile delivery, while incorrect data further marginalizes citizens from accessing services.
“Circulation requires abstracting contingencies of registration to standardize data as stable representations of citizens.While correct data underlies everyday experiences of data-driven efficiencies in last mile delivery of services, incorrect data further marginalizes citizens from accessing them.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Delhi government began integrating Aadhaar with the Public Distribution System in 2013.
“The Delhi government, for instance, has been working on connecting Aadhaar with PDS since 2013 [7].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] 7. Gaurav Vivek Bhatnagar. 2018. PDS Shopkeepers in Delhi Found Diverting Rations by Misusing Point of Sale Machines. The Wire. Retrieved from https://thewire.in/government/pds-shopkeepers-delhi-found-diverting-rations- misusing-point-sale-machines
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningEnrollment requires circulation of existing ID documents and interpretation of collected biometric data to ensure a citizen's uniqueness before registration into Aadhaar; seeding requires registration into the seeded database and interpretation of eligibility and informed consent in the circulation of Aadhaar numbers; authentication requires registration and circulation of service transactions and
“Enrollment requires circulation of existing ID documents and interpretation of biometric data collected to ensure a citizen's uniqueness before their registration into Aadhaar.Seeding requires registration into the seeded database and interpretation of a citizen's eligibility and informed consent to access services in the circulation of Aadhaar numbers.Authentication requires registration and”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBeing recognized as 'unique' increased citizens' resolution, while being categorized as 'duplicate' rendered them invisible.
“While being recognized as 'unique' increased the resolution of citizens, being categorized in the residual category of 'duplicate' rendered them invisible.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese forms of work sustain citizens' visibility to state bureaucracies and co-constitute what it means to be unique data of a rightful beneficiary in a welfare database.
“These kinds of work together sustain the visibility of a citizen to state bureaucracies and co-constitute what it means to be unique data of a rightful beneficiary in a welfare database.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenInterpretation relies on manual and algorithmic processing of data to identify patterns and produce new interpretive categories for classifying citizens; manual addition of Aadhaar numbers to government databases produced 'unique' and 'duplicate' records.
“Interpretation relies on manual as well as algorithmic ways of processing data to identify patterns and produce new interpretive categories for classifying citizens.For example, manual addition of Aadhaar numbers to government databases simultaneously produced two categories for interpreting citizen data: 'unique' and 'duplicate' records.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenEnrollees need a UIDAI-issued certificate of enrollment (or Aadhaar letter) for an authenticating agent to certify their identity against demographic data in the Aadhaar database.
“Enrollees require a UIDAI-issued certificate of enrollment (or Aadhaar letter) for any authenticating agent to certify their identity against demographic data stored in the Aadhaar database.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBecause mobile numbers were optional during enrollment and many did not provide them, residents who failed to receive Aadhaar letters could not obtain them online either.
“However, as mobile numbers were explicitly optional during enrollment and many did not provide them (nor in all cases have them), residents failing to receive their Aadhaar letters were unable to obtain them online as well.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningNavigating the transition depended on beneficiaries' ability to manage the circulation of their Aadhaar identity, interact with the banking system, file complaints, and ensure food security.
“Navigating this transition was conditioned upon beneficiaries' ability to manage the circulation of their Aadhaar identity, interact with the banking system, file a complaint in cases of not receiving cash subsidy, and use it to ensure food security.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningBureaucratic procedures in India have increasingly come to rely on Aadhaar-based data of citizens, making Aadhaar an infrastructure for organizing government services.
“Bureaucratic procedures in India have increasingly come to rely on Aadhaar-based data of citizens.Aadhaar, thus, has become the infrastructure of organizing government services.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenHigh resolution can also potentially marginalize people in diverse ways, such as formerly incarcerated people facing employment barriers due to criminal records.
“While we have focused on low resolution to uncover moments when infrastructures marginalize, high resolution can also potentially marginalize people in diverse ways, for example, in the struggles of the formerly incarcerated in securing employment because of their criminal record.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThe three mechanisms recursively build on and shape each other; for example, interpretation of Aadhaar number uniqueness builds on biometric registration and shapes conditions for circulation in other databases.
“Furthermore, these mechanisms recursively build on and shape each other.The interpretation of the uniqueness of Aadhaar numbers, for example, builds on registration of biometric data and shapes the conditions for their circulation in other databases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThis interpretive work is not equally granted or available to all and is central to citizens' resolution rendered through Aadhaar.
“It is not equally granted or available to all and is therefore central to citizens' resolution rendered through Aadhaar.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningMaximizing mandatory data categories during Aadhaar enrollment excludes citizens who cannot provide data for them, and data categories enact filters of exclusion.
“However, as members of Aadhaar's design team noted, maximizing the number of mandatory data categories during enrollment excludes citizens who cannot provide data for them.Data categories enact filters of exclusion.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationReasons for these delays included Post Office staffing challenges, incomplete addresses and wrong pin codes from enrollees, and enrolling agencies failing to upload enrollment data in time.
“Reasons for these delays ranged from staffing challenges at the Post Office [27] and incomplete addresses and wrong pin codes provided by enrollees [64], to the failure of enrolling agencies to upload enrollment data in time [58].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [27] 27. Express News Service. 2013. Aadhaar gives hard time to postman. The New Indian Express. Retrieved from http://newindianexpress.com/cities/hyderabad/article1460030.ece
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [64] 64. Mythri Prasad-Aleyamma. 2018. Cards and carriers: migration, identification and surveillance in Kerala, South India. Contemporary South Asia 26, 2: 191-205. https://doi.org/10.1080/09584935.2017.1407293 source
- cites [58] 58. Nandan Nilekani and Viral Shah. 2015. Rebooting India: Realizing a Billion Aspirations. Penguin Books India, Gurgaon.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationnone givenA data infrastructure can make many data subjects visible to organizational actors in service delivery while also effacing accounts of others it cannot or does not see.
“While a data infrastructure can make many data subjects visible to organizational actors in delivery of services, it can also easily efface accounts of others that it cannot and does not see.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenResolution is an analytic resource to map the making and management of difference enacted by data infrastructures in everyday lives of data subjects.
“More generally, resolution is an analytic resource to map the making and management of difference enacted by data infrastructures in everyday lives of data subjects.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningRegistration simplifies and standardizes real-world entities through data categories, and the processes of making categorical judgments and building consensus over categories shape both the data collected and the understanding of the represented entity.
“Registration involves simultaneously simplifying and standardizing real-world entities through data categories.The processes of making categorical judgements and building consensus over these data categories shape not only the nature of the data collected, but also the understanding of the real-world entity being represented through data.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCitizens are rendered through Aadhaar in varying degrees of resolution, and this resolution produces costly and unevenly distributed consequences for their life chances.
“Our field stories show that citizens are rendered through Aadhaar in varying degrees of resolution and their resolution produces costly and unevenly distributed consequences for their life chances.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningExpanding data categories reduces the scale of inclusion of citizens, increases a citizen's resolution, and decreases its consistency across the citizenry.
“Expanding data categories reduces the scale of the inclusion of citizens.It increases resolution of a citizen, and at the same time, decreases its consistency across citizenry.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationnone givenIn Seeing like an Infrastructure, this work is accomplished through categorical judgments.
“| How is this work done? | Simplification | Categorical judgments |”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenSeeing like an infrastructure as a standpoint engenders consciousness about how data infrastructures mediate relations between organizations and users through registration, circulation, and interpretation of user data.
“As a standpoint, seeing like an infrastructure engenders a consciousness around how data infrastructures mediate relations between organizations and users through mechanisms of registration, circulation, and interpretation of user data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenAnalyzing resolution's impact on citizenship without critical reflection on existing state-citizen politics can obscure the state's role in perpetuating oppression and domination through data systems.
“In analyzing the impact of resolution on the nature and meaning of citizenship, placing oneself in the perspective of seeing like an infrastructure without critical reflection on the politics of existing state-citizen relations can potentially obscure the role of the state in perpetuating oppression and domination through data systems.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationIn Seeing like a State, this work is accomplished through simplification.
“| How is this work done? | Simplification | Categorical judgments |”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] 79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*. Journal of Southern African Studies 34, 4: 899-917. https://doi.org/10.1080/03057070802456821 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenIn Seeing like an Infrastructure, this work occurs while navigating data representations.
“| When is this work done? | In administering a state | In navigating data representations |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningTo be a citizen is to be able to make claims on government services, and to do so citizens must be visible to state bureaucracies through their data.
“To be a citizen is to be able to make claims on these services; and to do so, citizens must be visible to state bureaucracies through their data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenNeither citizenship nor the state are fixed and stable entities; they co-construct each other through lived practices and experiences of bureaucratic procedures.
“Neither citizenship nor the state are fixed and stable entities; rather, the two co-construct each other through lived practices and experiences of bureaucratic procedures.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningResolution is crucial to map the balance of power in relations between actors organized around data infrastructures and their differential agencies in navigating and negotiating these relations.
“Resolution, thus, is crucial to map the balance of power in relations between actors increasingly organized around and through data infrastructures and their differential agencies in navigating and negotiating these relations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningResolution helps map diverse experiences and struggles of living with data and captures tensions between organizations as observers and users observed through data.
“Resolution also helps map diverse experiences and struggles of living with data.It captures the emerging tensions in relationships between organizations (here, the state) enacting the role of observers and users (here, citizens) who are observed through data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningAdopting the lens of seeing like an infrastructure enables researchers to trace this work and to better examine how data and algorithms perpetuate surveillance, precarity, and inequality.
“Learning to see like an infrastructure can help us follow this work and better analyze the emerging conditions of surveillance, precarity, and inequality perpetuated through data and algorithms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn Seeing like a State, this work is done for the purpose of control.
“| Why is this work done? | Control | Membership and access |”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79] 79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*. Journal of Southern African Studies 34, 4: 899-917. https://doi.org/10.1080/03057070802456821 source
May combine two claims.
InterpretationreasoningThe spectrum of resolution embeds multiple meanings of citizenship, each with its own promise and peril; low-resolution citizens face data-driven marginalization while high-resolution citizens often contend with invasion of privacy and surveillance.
“The spectrum of resolution thus embeds multiple meanings of citizenship, each with its own promise and peril.Low-resolution citizens of the kind foregrounded here face challenges of data-driven marginalization while high-resolution citizens must often contend with invasion of privacy and surveillance.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationThe perspective of Seeing like a State is singular and synoptic.
“| Vantage | Singular and synoptic | Plural and distributed |”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] 79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*. Journal of Southern African Studies 34, 4: 899-917. https://doi.org/10.1080/03057070802456821 source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenRepresenting citizens through data necessarily brings up practical and normative concerns about fairness, accountability, and inclusion.
“moral, because using data to represent citizens inevitably raises practical and normative questions of fairness, accountability, and inclusion.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe lived experience of resolution is deeply shaped by the democratic or authoritarian nature of the state and the socio-political purpose of its infrastructuring efforts.
“More broadly, the lived experience of resolution is deeply shaped by the (democratic or authoritarian) nature of the state and the socio-political purpose of its infrastructuring efforts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningUnderstanding these mechanisms is important for state bureaucracies because citizen data becomes a foundational resource for delivering government services, and these mechanisms offer citizens a toolkit to understand their data representation and challenges of claiming citizenship rights.
“In the context of state-citizen relations, on the one hand, understanding these mechanisms is important for state bureaucracies as citizen data becomes a foundational resource for delivery of government services.On the other hand, these mechanisms offer a toolkit for citizens to understand how they are represented through data and concomitant challenges of claiming citizenship rights.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationown dataIn Seeing like an Infrastructure, this work is done for the purpose of membership and access.
“| Why is this work done? | Control | Membership and access |”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationSeeing like a State produces legibility.
“| What does it produce? | Legibility | Spectrum of resolution |”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] 79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*. Journal of Southern African Studies 34, 4: 899-917. https://doi.org/10.1080/03057070802456821 source
Classified as probably not a substantial claim.
PremisecitationIn Seeing like a State, the work of seeing is performed by planners and state officials.
“| Who does this work? | Planners and state officials | Frontline workers and users (here, citizens) |”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [79] 79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*. Journal of Southern African Studies 34, 4: 899-917. https://doi.org/10.1080/03057070802456821 source
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningWhen observed people have broader participation-learning to navigate infrastructure, leaving without losing access, and seeking redress-their data can effectively represent their lives.
“When the observed are afforded a broader scope of participation including, but not limited to, learning to navigate the networked logic of infrastructures, capacity to leave without penalty of losing access to services, and opportunities to speak back and seek redress when faced with harms, their data can effectively represent their lives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenConstructing and interpreting a population as data demands labor, organization, and discipline.
“social, because making up and interpreting a population as data requires work, organization, and discipline”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenSeeing like an Infrastructure produces a spectrum of resolution.
“| What does it produce? | Legibility | Spectrum of resolution |”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn Seeing like a State, this work occurs while administering a state.
“| When is this work done? | In administering a state | In navigating data representations |”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [79] 79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*. Journal of Southern African Studies 34, 4: 899-917. https://doi.org/10.1080/03057070802456821 source
Classified as probably not a substantial claim.
Interpretationnone givenThe perspective of Seeing like an Infrastructure is plural and distributed.
“| Vantage | Singular and synoptic | Plural and distributed |”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenLow resolution, when employed strategically and creatively by marginalized communities, can become a powerful resource for resistance.
“Low resolution when employed strategically and creatively by these communities can become a powerful resource for resistance in these contexts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenAs infrastructures become increasingly integral to statecraft, bureaucratic procedures are increasingly driven by data systems studied by CSCW scholars, and state bureaucracies increasingly rely on citizen data to organize services.
“As infrastructures become increasingly integral to statecraft, these procedures in turn are increasingly driven by data systems long studied by CSCW scholars.As state bureaucracies produce and manage more data about citizens, they also increasingly rely on this data to organize their services.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenRelations between state and citizens also existed prior to current efforts at infrastructuring data systems.
“However, these relations also existed prior to current efforts at infrastructuring data systems.”
Quote in the paperNot a substantial claim
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Scott citation points to a different author
MinorThe text attributes the cited argument to James Scott, but reference 79 lists Antina von Schnitzler. Scott's *Seeing like a State* is listed as reference 80.
“Agrarian studies scholar James Scott [79] has characterized these bureaucratic procedures as high modernist”
“79. Antina von Schnitzler. 2008. Citizenship Prepaid: Water, Calculability, and Techno-Politics in South Africa*.”
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Cited by
Sorted by citations
Mim, N. J., Nandi, D., Khan, S. S., Dey, A., & Ahmed, S. I. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641951 · Cited by 42 · see citing works
“Very recently, scholars have also started to point out the problems associated with the use of “Big Data" in the Global South contexts [115, 120].”
BackgroundEhsan, U., Singh, R., Metcalf, J., & Riedl, M. O. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533186 · Cited by 47 · see citing works
Self-citationKarusala, N., Upadhyay, S., Veeraraghavan, R., & Gajos, K. Z. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641898 · Cited by 35 · see citing works
“A line of work looking at the effects of Aadhaar, a biometrics-based identification database, uncovers how it worsens inequities in access to public services for already marginalized populations [92, 93].”
BackgroundIntroduction to the digital welfare state: Contestations, considerations and entanglements
van Toorn, G., Henman, P. W. F., & Soldatić, K. (2024) · Journal of Sociology · doi:10.1177/14407833241260890 · Cited by 43 · see citing works
“…such as fi ngerprints or facial features, are used in the distribution of welfare services and the securitisation of borders (Madianou, 2019; Magnet, 2011; Marciano, 2019; Singh & Jackson, 2021), while also enabling greater conditionality in social policy (Henman, 2011; Watts & Fitzpatrick, 2018).”
A Primer on AI in/from the Majority World: An Empirical Site and a StandpointPreprint
Amrute, S., Singh, R., & Guzmán, R. L. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4199467 · Cited by 29 · see citing works
Self-citationA Systematic Literature Review of Infrastructure Studies in SIGCHI
Lyu, Y., Cai, J., & Carroll, J. M. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757545 · Cited by 23 · see citing works
Keywords of the Datafied StatePreprint
Burrell, J., Singh, R., & Davison, P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4734250 · Cited by 20 · see citing works
Self-citationFace Work: A Human-Centered Investigation into Facial Verification in Gig Work
Watkins, E. A. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579485 · Cited by 16 · see citing works
“Singh and Jackson, in their studies of the India biometric digital identity system Aadhar, found that digital identity requires participants to engage in a laborious and ongoing process, performing constant work to “verify” themselves and navigate the demands of enrollment and data management [73,74].”
BackgroundMethodSecurity Patchworking in Lebanon: Infrastructuring Across Failing Infrastructures
McClearn, J., Jensen, R. B., & Talhouk, R. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637397 · Cited by 12 · see citing works
“Further, as posited in [48] and exemplified by [99], thinking with and through infrastructures, as we do in this paper, allows for in-frastructural failure to be used as an analytical lens [74] to examine inclusion and power.”
BackgroundRaghunath, A., Ndubuisi-Obi, I., Mpogole, H., & Anderson, R. (2023) · ACM Journal on Computing and Sustainable Societies · doi:10.1145/3616386 · Cited by 12 · see citing works
“Researchers in ICTD have recognized the importance of analytically framing our understanding of infrastructures [1, 14, 25, 57, 67].”
BackgroundThe decolonial turn is on the road to contingency
Singh, R. (2021) · Information Communication & Society · doi:10.1080/1369118x.2021.1986104 · Cited by 12 · see citing works
“…Couldry and Meijas (this issue) on the data colonialism thesis reminded me of a conversation I had with an entrepreneur in Bengaluru, India while conducting fi eldwork for my dissertation research on Aadhaar (Singh & Jackson, 2021), India ’ s biometrics-based national identi fi cation infrastructure.”
BackgroundInfluentialSelf-citationYerramsetti, S. (2022) · Asia Pacific Journal of Public Administration · doi:10.1080/23276665.2022.2110909 · Cited by 10 · see citing works
“…body of evidence shows that large-scale data systems can reinforce the Matthew effect by expanding the rights and privileges of “high-resolution citizens”, i. e., those who are able to comply with paperwork requirements, at the expense of “lowresolution citizens” (Singh & Jackson, 2021).”
BackgroundThe state as auteur: Timing digitisation in Africa's Silicon Savannah
Datta, A., & Hoefsloot, F. I. (2024) · Dialogues on Digital Society · doi:10.1177/29768640241295479 · Cited by 9 · see citing works
“The so far unsuccessful efforts to automate the land sector might suggest that this is a sign of the ‘ illegible state ’ (Das and Poole, 2004) which actively produces informality in land transactions as the modus operandi of power (Singh and Jackson, 2021).”
What to the Muslim is Internet search: Digital Borders as Barriers to Information
Razaq, L., & Ghoshal, S. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642770 · Cited by 9 · see citing works
Intermediaries as infrastructure: Interrogating the phatic labor of state-building
Singh, R. (2024) · Journal of Sociology · doi:10.1177/14407833241234675 · Cited by 11 · see citing works
“…arguments: (1) in laying the foundational groundwork for organizing the state, infrastructures also mediate state – citizen relations; (2) a citizen without access to state infrastructure (water or housing or legal standing) becomes altogether less of a citizen (see also Singh & Jackson, 2021).”
Self-citationBuckley, M., Chakravartty, P., & Gill, S. (2022) · Antipode · doi:10.1111/anti.12876 · Cited by 7 · see citing works
Martinez, R., Hollebeke, M. V., Squire, K. D., et al. (2025) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3706679 · Cited by 5 · see citing works
“If AI becomes fundamental infrastructure, similar to critical utilities like water or electricity [16, 57] the need for equi-table GenAI becomes imperative–but so too, does a democratically-oriented design practice.”
Segate, R. V. (2024) · International Journal of Digital Law and Governance · doi:10.1515/ijdlg-2024-0010 · Cited by 7 · see citing works
The Role of ICTs in the Maintenance and Reproduction of Digital Border Assemblages
Razaq, L., & Ghoshal, S. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713261 · Cited by 4 · see citing works
“…a review to analyze literature in critical border studies [48, 88, 99, 126, 127], bordering technology [22, 63, 125], datafication by state [108, 115], surveillance and racialized surveillance [18, 43, 59], critical race studies [52, 95] to understand key concepts in border studies and…”
Broker bureaucracies: The subsidiary offices of the digitalizing state
Hoefsloot, F. I., Gupta, N., Muthama, D. M., et al. (2025) · Digital Geography and Society · doi:10.1016/j.diggeo.2025.100112 · Cited by 4 · see citing works
“However, while information infrastructures have risen over the past few years, a proportion of ‘low-resolution citizens ’ (Singh & Jackson, 2021) and ‘informational peripheries ’ (Datta, 2023) – that is, those who do not utilize digital technologies to contact the state nor are visible in the state…”
More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual Framework
Lopez, P. (2024) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3630106.3658944 · Cited by 4 · see citing works
“Further, transgender individuals and individuals who do not conform to the gender categories available are subject to discriminatory practices at enrolment, and they face difficulties providing evidence for their gender entry [69].”
BackgroundInfluentialKailash, T., & Lin, C. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790854 · Cited by 2 · see citing works
“Additionally, this re-framing matters for HCI because designers and infrastructure decision-makers operate within and sometimes, in contestation with these public imaginaries [48, 78, 112] whether they recognize it or not, and policy is shaped accordingly.”
Ndubuisi-Obi, I., Chen, N., & Tsai, L. L. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757400 · Cited by 3 · see citing works
Bhattacharjee, A., Rifat, M. R., Das, D., et al. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3711057 · Cited by 3 · see citing works
“Our study offers a nuanced contribution to the concept of residual mobility [3, 161] by studying the particular challenges confronted by the Hindu migrants within a largely monotheistic environment.”
Zhang, Z., Das, D., & Semaan, B. (2025) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-025-09516-2 · Cited by 5 · see citing works
“However, as participants further engage with such systems, they are rendered as high-resolution (Singh and Jackson 2021) commodities through datafication and are more likely subjected to managerial control, which introduces new forms of emotional labor.”
Beyond mitigation: building a case for collective rights and remedies for digital ID-enabled harms
Cioffi, K. (2024) · Information Communication & Society · doi:10.1080/1369118x.2024.2420023 · Cited by 3 · see citing works
Singh, R. (2023) · Journal of Cultural Economy · doi:10.1080/17530350.2023.2229360 · Cited by 4 · see citing works
“On the citizen ’ s side, access to the state becomes grounded in managing representation through data in public data infrastructures (Singh and Jackson 2021).”
Self-citationDigital addressing and the construction of the Ghanaian nation-space
Thiel, A. (2023) · Digital Geography and Society · doi:10.1016/j.diggeo.2023.100054 · Cited by 5 · see citing works
"Computer Says No": Disabled Welfare Experiences and Envisioned Futures Under AI Governance
Curtis, H., Jenkins, A. D. G., Gentry, A., Zacharek, S., McVicker, S. J., Neate, T., & Birčanin, F. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791025 · Cited by 2 · see citing works
“In India, Mudliar [81, 82] and Singh and Jackson [109, 110] examine how Aadhaar–the national digital ID–shapes welfare delivery.”
High‐resolution property: Drone enclosures in digital India
Cowan, T. (2025) · Transactions of the Institute of British Geographers · doi:10.1111/tran.70036 · Cited by 4 · see citing works
Cakiki, B., & Thiel, A. (2025) · Sociologisk Forskning · doi:10.37062/sf.62.27828 · Cited by 2 · see citing works
Mending the Fabric: the Contentious, Collaborative Work of Repairing Broadband Maps
Abad, B. P., Belding, E., Vigil-Hayes, M., & Zegura, E. W. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3687003 · Cited by 3 · see citing works
“This metaphor also serves the context of broadband where certain citizens, such as tribal members, have been left out of official datasets, and rendered invisible [46] to the broadband infrastructure, due to inaccurate or insufficient data [14].”
BackgroundInfluentialAn impact and risk assessment framework for national electronic identity (eID) systems
Edu, J., Hooper, M., Maple, C. R., & Crowcroft, J. (2023) · IET conference proceedings. · doi:10.1049/icp.2023.2596 · Cited by 2 · see citing works
The Geopolitical Shaping of Digital ID in Asia: Ten Years of Digital Asia
Hicks, J. (2023) · Asiascape Digital Asia · doi:10.1163/22142312-bja10048 · Cited by 2 · see citing works
(2022) · doi:10.1017/dap.2022.37 · Cited by 2 · see citing works
“The best-known examples of digital identity are those of Estonia, which provides an e-ID for its citizens, but also enables e-citizenship1 for anyone in the world (Tammpuu and Masso, 2019), and the Aadhaar2 programme in India, which provides a unique ID to every resident, based on biometrics (Rao, 2019; Singh and Jack…”
BackgroundHiding in Plain Sight: Understanding the Everyday Practices and Challenges of Car Dwellers
Zehrung, R., & Chen, Y. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791658
Data Migration in HCI: The Politics of Invisible Borders, Informal Networks, and Immigrants’ Data
Rohanifar, Y., Levine, R. F., Sultana, S., & Ahmed, S. I. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790605 · Cited by 1 · see citing works
“Singh and Jackson’s study of Aadhaar shows how standardized data formats and bureaucratic evaluation practices construct “low-resolution citizens”, flattening lived histories in the process [62].”
Nguyen, T., Xu, J., Nguyen-Le, P.-A., Lazar, J. K., Braman, D., Daumé, H., & Jelveh, Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5242075 · Cited by 1 · see citing works
Henman, P. W. F. (2023) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/978-2-38476-104-3_39 · Cited by 2 · see citing works
Accessibility and usability of e-government web-resources: problems and solutions
Dolganova, O. I., & Vasilevskaya, L. J. (2022) · Vestnik Universiteta · doi:10.26425/1816-4277-2022-7-13-21 · Cited by 1 · see citing works
Martin, A. J., Kailash, T., & Lin, C. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3817017
“Contemporary CSCW analyses of ”low-resolution citizens” [242] and ”hydraulic citizens” [119] emphasize the role of infrastructure in this graduated citizenship [190], splitting subcitizen groups and (paradoxically?) circularly determining rights through infrastructural access itself .”
Seeing like an API: Platform-mediated research and the politics of access
Cullen, Z. N., Ellison, N. B., & Pasquetto, I. V. (2026) · Big Data & Society · doi:10.1177/20539517261461463
LIAISE-CAM: A design framework for small business digitalization in developmental contexts
Goel, H., Ghoshal, A., & Ragavan, S. S. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3813098
Seeing, speaking and trawling like an authoritarian state
Sundar, N. (2026) · The Journal of Peasant Studies · doi:10.1080/03066150.2026.2651553
“Even now, a whole series of articles dealing with new forms of digital surveillance draw from Scott’s title (Liu 2021; Singh and Jackson 2021).”
Anwar, M. A., Thylstrup, N. B., Grohmann, R., & Posada, J. (2026) · Big Data & Society · doi:10.1177/20539517261459214
“While the impact of mobile phones on economic development is still debatable, recent years have witnessed several controversial efforts to integrate big data practices and AI systems in development initiatives, including the contested partnership between World Food Programme (WFP) and Palantir (World Food Programme, 2…”
Beyond Neutral Certainty: A Popperian–Buddhist–Confucian Epistemology for Responsible AI
Shakir, S. (2026) · Global Philosophy · doi:10.1007/s10516-026-09783-8
“The resulting technological violence impacted those whom Singh and Jackson ( 2021 ) describe as low-resolution citizens , where vulnerable lives remain hidden within rigid data frameworks.”
Digital Governance in South Asia: Balancing Innovation, Democracy, and Inclusion
Quyyam, A., & Moazzam, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-28051-0_4
- Self-citation
Implementing the World’s Largest Sanitation Program – Findings from Rural Jharkhand in India
Borde, R., Novotný, J., Ficek, F., & Kumar, A. (2025) · Human Rights Review · doi:10.1007/s12142-025-00747-w
“Several studies have pointed to the intersections between marginality and Aadhar card-related exclusions from governmental welfare programmes in India (Singh, 2021; Singh and Jackson, 2021).”
Designing Secure and Inclusive Digital Welfare Systems
Desai, H. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-0817-3.ch023
A Survey of Ethics in Aadhaar, Cybersecurity, and Healthcare Data
Vijay, P., Ramesh, P. R., & Keshav, S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-97-8861-3_37
Desai, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5268311
- Authors
- Singh, R., & Jackson, S.
- Affiliations
- Data & Society Research Institute (US)
- Cornell University (US)
- Venue
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2021-10-13
- Volume
- 5
- Issue
- CSCW2
- Pages
- 1-26
- ISSN
- 2573-0142 (ISSN-L)
- OpenAlex
- W3207819680
- Cited by
- 60
- References
- 80
- Citations by year
- 2026: 18 · 2025: 16 · 2024: 12 · 2023: 7 · 2022: 6 · 2021: 1
- FWCI
- 21.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the ACM on Human-Computer Interaction (publishedVersion)
- Funders
- NSF (1655753)
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Keywords
- Aadhaar, biometric identification, infrastructure, Seeing Like a State, citizenship, data systems, exclusion, marginalization, enrollment, seeding, authentication, India
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