Cited by 117Disability Rights and RepresentationAutism Spectrum Disorder ResearchGender, Health, and Social Inequality

Intersectionality within critical autism studies: a narrative review

Open access
Mallipeddi, Nathan V., VanDaalen, Rachel A.·2022·Autism in Adulthood

Abstract

The aim of this narrative review was to examine intersectionality within critical autism studies. A growing body of evidence has demonstrated the importance of intersectional frameworks in highlighting the diverse experiences of marginalized communities. Many disability studies researchers investigated intersectionality to elucidate the impact of race, gender, sexuality, class, and other constructs on disability identification. Within critical autism studies, a field that emerged to challenge the deficit-laden, pathologizing autism discourses favored by the medical community, intersectionality has started to become an integral component of the literature. This review highlights intersectional frameworks utilized to explore autism in both academic and nonacademic contexts, to provide a foundation for future study. Upon analysis, we found overarching themes regarding the explicit, implicit, and descriptive approaches to intersectionality, racial and gender biases within critical autism studies, and the multidisciplinary nature of intersectionality and critical autism studies. We finish the review with recommendations for how to more fully address the experiences of all autistic people—particularly of racial, gender, and sexual minority individuals—in future study. Our recommendations include utilizing intersectionality as an analytical lens for describing previously overlooked phenomena and questioning central tenets of methodology and processes, including developing research questions, analyzing data, and writing results. Community briefs Why is this topic important? Intersectionality means that many different social influences make up a person's experiences. Examples of these social influences are gender and sexism, ethnicity and racism, and disability and ableism. This topic is important because different autistic people may have different experiences depending on these other social factors. Studying intersectionality helps us to understand these differences and better serve those autistic communities that may be ignored. What is the purpose of this article? We looked at how authors of published studies and community projects have thought about intersectionality in autistic communities. What personal or professional perspectives do the researchers bring to this topic? Both authors have invisible disabilities. We have both done research on disability and social influences, and we have worked with people in disability communities, including autistic communities. We have also noticed how our gender, race, and sexual orientation have affected how we experience our disabilities. What results did the researchers find? We found three main ways that authors talked about intersectionality. (1) Sometimes authors directly talk about intersectionality. This means that some authors use the idea of intersectionality to help them think of a research question or to help them understand their data. In these cases, authors use the word “intersectionality” in their articles. (2) Sometimes authors talk about intersectionality, but not directly. This means that some authors do not use the word “intersectionality” to talk about their research, but they still use similar ideas. For example, sometimes authors looked at what it is like to be an autistic woman. This topic is intersectional because it talks about two different social influences (autism and gender). However, the authors did not directly write that it was intersectional. (3) Finally, sometimes authors do not talk about intersectionality, but their study can be used as a starting point for talking about intersectionality later. For example, sometimes authors look at differences in whether people are diagnosed with autism, based on their race. Research such as this can be helpful because other researchers can use it to make studies to learn about why differences between autistic groups happen. What do the researchers recommend? We recommend that researchers in many fields and people working with autistic communities think about how intersectionality and social influences affect autistic people. They can do this when thinking of research questions, understanding their data, and writing about their results. We also recommend that researchers think more about racial, gender, and sexual minority group experiences within the autistic community. This is important because sometimes researchers or stakeholders have forgotten about certain groups of autistic people. How will these recommendations help autistic adults now or in the future? Thinking about intersectionality can help people understand autistic people's different experiences, especially in terms of how these experiences are affected by social influences. We hope that our article leads to research that makes life better for all autistic people and fits better for autistic people who have been ignored or forgotten about in some research or advocacy projects.

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Crossref · 10.1089/aut.2021.0014

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  • Workforce demographics, occupational demands, and intersectional factors may shape where redesign is most needed to support accessibility.

    “Workforce demographics, occupational demands, and intersectional factors, including age, race, gender, religion, and sexuality, may shape how neuro-cognitive traits are experienced and where redesign is most needed to support accessibility (Crenshaw, 1989; Mallipeddi and VanDaalen, 2022).”

    From The system-level organisational design framework: a neuro-cognitive trait interaction approach to workplace inclusion for autistic people (2026) · cites this paper as Mallipeddi and VanDaalen, 2022

    The paper’s Abstract says that factors including race, gender, age, sexuality, and religion can shape disability experiences, and that contextual factors of oppression may influence individual autistic experiences. It does not address how workforce demographics or occupational demands determine where workplace redesign is most needed for accessibility. (LLM, conf=0.86)

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  • Workforce demographics, occupational demands, and intersectional factors may shape how neuro-cognitive traits are experienced.

    “Workforce demographics, occupational demands, and intersectional factors, including age, race, gender, religion, and sexuality, may shape how neuro-cognitive traits are experienced and where redesign is most needed to support accessibility (Crenshaw, 1989; Mallipeddi and VanDaalen, 2022).”

    From The system-level organisational design framework: a neuro-cognitive trait interaction approach to workplace inclusion for autistic people (2026) · cites this paper as Mallipeddi and VanDaalen, 2022

    The Abstract (page not provided) says that race, gender, sexuality, and other contextual factors can influence autistic experiences; it also discusses differences associated with age and religion. The paper does not establish the claimed role of workforce demographics or occupational demands, or identify where workplace redesign is most needed. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • People with dyslexia often use assistive technology to read or write text.

    “People with dyslexia oen use assistive technology in order to read or write text (or both) [51], [54].”

    From Neurodiversity and the Accessible University: Exploring Organizational Barriers, Access Labor and Opportunities for Change (2024) · cites this paper as [51]

    The passages from the review discuss intersectionality and disability, while the closest reference-list match is an article published in Dyslexia; neither addresses assistive technology for reading or writing. Searches for dyslexia and assistive technology, including reading and writing text, found no passage supporting the claim in our copy. (LLM, conf=0.75)

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References 39 · Cited by 117

Research works printed but not linked: 9

  1. [5]5. Crenshaw KW. Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. Univ Chic Leg Forum. 1989;1989(1):139–167. [Google Scholar]
  2. [6]6. Davis AY. Women, Race, and Class. New York City, NY: Random House; 1983. [Google Scholar]
  3. [8]8. Combahee River Collective. The Combahee river collective statement. In: Smith B, ed. Home Girls: A Black Feminist Anthology. Latham, New York: Kitchen Table: Woman of Color Press; 1983;264–274. [Google Scholar]
  4. [16]16. Barnes C, Mercer G. Exploring Disability. 2nd ed. Cambridge, United Kingdom: Polity Press; 2010. [Google Scholar]
  5. [25]25. Meyerding J. Thoughts on finding myself differently brained. Autonomy (Birm). 1998;1(2):1–14. [Google Scholar]
  6. [27]27. Singer J. “Why can't you be normal for once in your life?” from a “problem with no name” to the emergence of a new category of difference. In: Corker M, French S, eds. Disability Discourse. Maidenhead, Berkshire: Open University Press; 1999;59–67. [Google Scholar]
  7. [30]30. Graby S. Neurodiversity: Bridging the gap between the disabled people's movement and the mental health system survivors' movement? In: Anderson J, Spacey B, Spandler H, eds. Madness, Distress and the Politics of Disablement. Bristol, United Kingdom: Policy Press; 2015;231–235. [Google Scholar]
  8. [48]48. Brown LX, Ashkenazy E, Onaiwu MG, eds. All the Weight of Our Dreams: On Living Racialized Autism. Lincoln, NE: DragonBee Press; 2017. [Google Scholar]
  9. [54]54. Sequenzia A, Grace EJ, eds. Typed Words, Loud Voices. Fort Worth, TX: Autonomous Press; 2015. [Google Scholar] Articles from Autism in Adulthood: Challenges and Management are provided here courtesy of SAGE Publications

Authors
Mallipeddi, N. V., & VanDaalen, R. A.
Affiliations
  • Harvard University (US)
  • University of Maryland, College Park (US)
Corresponding author
VanDaalen, Rachel A.
Venue
Autism in Adulthood
Published
2022-12-01
Volume
4
Issue
4
Pages
281-289
ISSN
  • 2573-9581 (ISSN-L)
  • 2573-959X
OpenAlex
W3217407926
Cited by
117
References
39
Citations by year
2026: 29 · 2025: 36 · 2024: 32 · 2023: 14 · 2022: 6
FWCI
2.43
Type
journal article
Language
en
Open access
Locations
  • Autism in Adulthood (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Safety Research › Disability Rights and Representation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Social Sciences › Sociology and Political Science › Gender, Health, and Social Inequality
Keywords
intersectionality, critical autism studies, autistic people, deficit model of autism, ableism, autism discourse, disability identity, marginalized communities, autistic community

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