Humor and Stereotypes in Computing: An Equity-focused Approach to Institutional Accountability
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Gendered and racialized patterns of under-diagnosing or late diagnosis preclude or delay access to accommodations, which adds to other barriers experienced by historically underrepresented groups in CS.
“For example, gendered and racialized patterns of under-diagnosing or late diagnosis [4], [69], preclude or delay access to accommodations, which adds to other barriers experienced by historically underrepresented groups in CS [10], [21], [53].”
From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [10]
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References 85 · Cited by 11
- Authors
- Borsotti, V., & Bjørn, P.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Borsotti, Valeria
- Bjørn, Pernille
- Venue
- Computer Supported Cooperative Work (CSCW)
- Published
- 2022-07-19
- Volume
- 31
- Issue
- 4
- Pages
- 771-803
- ISSN
- 0925-9724 (ISSN-L)
- 1573-7551
- OpenAlex
- W4285795476
- Cited by
- 11
- References
- 85
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 3 · 2022: 3
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Supported Cooperative Work (CSCW) (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Topics
- Social Sciences › Safety Research › Career Development and Diversity
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- stereotypes, institutional accountability, inclusion, diversity, marginalized communities, stereotype threat, organizational traditions, organizational rituals, sense of belonging, critical reflection, data collection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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