Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science

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

Pellicano, E. & den Houting, J. (2021). Annual Research Review: Shifting from ‘normal science’ to neurodiversity in autism science. Journal of Child Psychology and Psychiatry, 63(4), 381-396. https://doi.org/10.1111/jcpp.13534

Publication date: 3 Nov 2021 Added to AutiHub: 5 Jul 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)

Abstract

Since its initial description, the concept of autism has been firmly rooted within the conventional medical paradigm of child psychiatry. Increasingly, there have been calls from the autistic community and, more recently, nonautistic researchers, to rethink the way in which autism science is framed and conducted. Neurodiversity, where autism is seen as one form of variation within a diversity of minds, has been proposed as a potential alternative paradigm. In this review, we concentrate on three major challenges to the conventional medical paradigm - an overfocus on deficits, an emphasis on the individual as opposed to their broader context and a narrowness of perspective - each of which necessarily constrains what we can know about autism and how we are able to know it. We then outline the ways in which fundamental elements of the neurodiversity paradigm can potentially help researchers respond to the medical model's limitations. We conclude by considering the implications of a shift towards the neurodiversity paradigm for autism science.

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: 2 Oct 2026 17:07.

Cited references
220
With a DOI
179
Without a DOI, from raw bibliography text
35
43 / 220 (19.5%) cited references include at least one author identified as autistic.
References with data to complete
11 / 220 (5.0%)
References with detected author names
209 / 220 (95.0%)
Without detected author names
11
Without a structured title
11
Without a stable identifier
30
References with raw author names still to review
11
References with external metadata lookup issues
0
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
644
From DOI or external metadata
644
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
12
354 / 644 (55.0%) names are linked to an author already present in AutiHub. 290 / 644 (45.0%) names are not yet linked.
Names linked to a person identified as autistic
73 / 644 (11.3%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 73 / 354 (20.6%). Distinct people identified as autistic: 43 / 490 (8.8%).
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