Billets de Michelle Dawson

Billet publié sur Bluesky le 01/02/2025 11:37

Bluesky Publication avec DOI crossref Extrait cité dans le billet Question posée par Dawson dans le billet Lien intégré au billet Termes sur l’autisme

"conceptualisation of neurodiversity in empirical research"?--scoping review, autism-relevant, free link.springer.com/article/10.1... "While some consensus in the field exists, contrasts and debate remain, particularly regarding the alignment of neurodiversity with disability models"?

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Publication avec DOI Récupéré Publication crossref

Helen McLennan, Rachel Aberdein, Beth Saggers, Jenna Gillett-Swan (2025). Thirty Years on from Sinclair: A Scoping Review of Neurodiversity Definitions and Conceptualisations in Empirical Research. Review Journal of Autism and Developmental Disorders. Springer Science and Business Media LLC.

Date de publication
30/01/2025
Identifiant
10.1007/s40489-025-00493-2
Auteurs
Helen McLennan, Rachel Aberdein, Beth Saggers, Jenna Gillett-Swan
Source
Review Journal of Autism and Developmental Disorders
Type de référence
article
Éditeur
Springer Science and Business Media LLC
Source de métadonnées
crossref

Résumé

Abstract A review of research is beneficial in contributing to the debate about neurodiversity conceptualisation. Thus, the aim of this study was to identify how neurodiversity has been defined and conceptualised in empirical research. A scoping review of research featuring neurodiversity as a central focus was conducted, accessing 10 databases. Key concepts related to neurodiversity were collated from 46 articles, and a constant comparative analysis was used to generate results. Results position neurodiversity as natural human variation alongside a further seven categories. These results were compared to theoretical work and early principles of neurodiversity, particularly those introduced by Jim Sinclair 30 years ago. While some consensus in the field exists, contrasts and debate remain, particularly regarding the alignment of neurodiversity with disability models.

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