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

📅 Published: November 3, 2021 👤 Elizabeth Pellicano, Jacquiline den Houting 📖 Journal of Child Psychology and Psychiatry 📊 628 citations
AI-Generated Summary

Since its initial description, the concept of autism has been firmly rooted within the conventional medical paradigm of child psychiatry. We then outline the ways in which fundamental elements of the neurodiversity paradigm can potentially help researchers respond to the medical model's limitations.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 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.
  • 2 Neurodiversity, where autism is seen as one form of variation within a diversity of minds, has been proposed as a potential alternative paradigm.
  • 3 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.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Nov 3, 2021
Journal Journal of Child Psychology and Psychiatry
DOI 10.1111/jcpp.13534
Citations 628
Authors Elizabeth Pellicano, Jacquiline den Houting