Mapping Epistemic Partnerships: An Intersectional Framework for Collaborative Knowledge Production in Autism Studies

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

About the autistic author marker

Benedetto, M. S. (2025). Mapping Epistemic Partnerships: An Intersectional Framework for Collaborative Knowledge Production in Autism Studies. Autism in Adulthood. https://doi.org/10.1177/25739581251390141

Publication date: 5 Nov 2025 Added to AutiHub: 17 Sep 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
1
Publication authors identified as autistic
1 / 1 (100.0%)

Abstract

This framework presents a reflexive tool to navigate epistemic partnerships, interrogating the pervasive influence of Whiteness in knowledge production within Critical Autism Studies, and Autism Studies more broadly. Grounded in countercolonial praxis, the framewok operationalizes positionality and privilege, guiding researchers through 11 interconnected questions that foster humility, amplify marginalized voices, and disrupt epistemic hierarchies. By addressing the researcher’s relationship to power, both as a potential target and as a bearer of privilege, this tool resists the colonial impulse to claim objectivity, instead embracing shared authority and relational accountability. Each question serves as a provocation, prompting continuous reflection on the ethical complexities of knowledge creation while resisting appropriation and extractivist tendencies. More than a methodological intervention, this framework embodies a living praxis—one that demands researchers to embrace discomfort and center those whose narratives have long been silenced in their research endeavors. In offering this tool, the article contributes to the broader project of epistemic justice, carving space for Critical Intersectional Autism Studies that challenge Whiteness as its invisible standard in Autism Studies. Community Brief Why is this topic important? Autism research is largely led by White scholars working in Western universities. Because of this, the experiences of non-White autistic people are often ignored or treated as secondary. This has real-world consequences—when research does not include diverse perspectives, health care, support systems, and policies fail to address the needs of many autistic people. This article highlights why race matters in autism research and provides tools to make research more inclusive and just. What is the purpose of this article? The article introduces a new way to approach autism research through an intersectional framework. This tool helps researchers think critically about who is included, who is left out, and how power shapes knowledge. The goal is to challenge the dominance of Whiteness in autism research and make sure that non-White autistic voices are not just heard, but actively centered. What personal and professional perspectives do the authors bring to the topic? The author is an autistic Latin American scholar who has firsthand experience with the ways in which Whiteness shapes academic research. Initially, they set out to study autistic women’s experiences but realized that their own research was reinforcing Whiteness as the norm. Over 4 years of fieldwork, they collaborated with non-White autistic individuals, learning from their insights and experiences. This led them to create the intersectional framework as a way to hold themselves, and other researchers, accountable. What is already known about this topic? 1. Autism studies have historically focused on White autistic people, often ignoring how race and colonial histories shape autistic experiences. 2. Many researchers talk about “intersectionality,” but they do not actually include race in their analysis. 3. Non-White autistic people face greater barriers to diagnosis, health care, and support services. 4. Academic research often takes knowledge from marginalized communities without truly collaborating with them. What do the authors recommend? The author offers a concrete tool, the intersectional framework, to guide autism researchers through ethical research practices. This framework is not just for autism research; it can be used in any field to promote ethical and accountable knowledge production. How will these recommendations help autistic adults now and in the future? 1. More inclusive research will lead to better health care, support systems, and policies that serve all autistic people. 2. Stronger collaborations between researchers and autistic individuals will lead to research that actually reflects real-world experiences. 3. More ethical research practices will ensure that autistic voices are not just included, but valued as knowledge producers. 4. A shift in power, rather than reinforcing the dominance of Whiteness, this framework challenges it and makes space for diverse perspectives.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 19 Sep 2026 01:01.

Cited references
63
With a DOI
40
Without a DOI, from raw bibliography text
23
5 / 63 (7.9%) cited references include at least one author identified as autistic.
References with data to complete
3 / 63 (4.8%)
References with detected author names
60 / 63 (95.2%)
Without detected author names
3
Without a structured title
2
Without a stable identifier
23
References with raw author names still to review
2
References with external metadata lookup issues
2
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
130
From DOI or external metadata
130
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
2
25 / 130 (19.2%) names are linked to an author already present in AutiHub. 105 / 130 (80.8%) names are not yet linked.
Names linked to a person identified as autistic
7 / 130 (5.4%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 7 / 25 (28.0%). Distinct people identified as autistic: 7 / 125 (5.6%).
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