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Les traits autistiques, l'efficacite communicative et les biais sociaux faconnent l'apprentissage des langues chez les apprenants autistes et allistes

Titre original en anglais : Autistic Traits, Communicative Efficiency, and Social Biases Shape Language Learning in Autistic and Allistic Learners

Cette publication est incluse dans le projet « Contributions académiques de personnes autistes sur l’autisme ». un auteur·ice de cette publication est identifié·e comme autiste dans le projet.

À propos de la mention auteur·ice autiste

Fletcher, L., Rabagliati, H., & Culbertson, J. (2024). Autistic Traits, Communicative Efficiency, and Social Biases Shape Language Learning in Autistic and Allistic Learners. Cognitive Science, 48(11), Article e70007. https://doi.org/10.1111/cogs.70007

Date de publication: 28/10/2024 Ajout dans AutiHub: 29/10/2026 Type: Article Langue de l’article: Anglais

Cette publication est intégrée dans AutiHub via :

Auteurs

Auteur·ices des publications
3
Auteur·ices de la publication identifié·es comme autistes
1 / 3 (33,3 %)

Résumé

Resume Il existe de nombreuses preuves que les mecanismes cognitifs individuels actifs pendant l'apprentissage et l'utilisation des langues peuvent contribuer a l'evolution du langage. Par exemple, des travaux experimentaux suggerent que les apprenants reduiront le marquage casuel dans une langue ou les roles grammaticaux sont indiques de maniere fiable par un ordre fixe des mots, une correlation observee de facon robuste dans les langues du monde. Cependant, ces recherches supposent souvent une homogeneite parmi les apprenants et les utilisateurs de langues, ou du moins n'approfondissent pas les differences individuelles de comportement. Pourtant, il est de plus en plus clair que les utilisateurs de langues varient de nombreuses manieres : par leur culture, leurs caracteristiques demographiques et, point crucial pour les presentes fins, en termes de diversite cognitive. Ici, nous examinons comment la neurodiversite influence le comportement dans une tache experimentale semblable a celle resumee ci-dessus, et comment ce comportement interagit avec les pressions sociales. Nous constatons a la fois des similitudes et des differences entre des personnes anglophones autistes et non autistes, ce qui suggere que la neurodiversite peut influencer le changement linguistique en laboratoire. Cela souligne a son tour le potentiel de futures recherches sur le role des populations neurodivergentes dans l'evolution du langage plus generalement.

Abstract There is ample evidence that individual‐level cognitive mechanisms active during language learning and use can contribute to the evolution of language. For example, experimental work suggests that learners will reduce case marking in a language where grammatical roles are reliably indicated by fixed word order, a correlation found robustly in the languages of the world. However, such research often assumes homogeneity among language learners and users, or at least does not dig into individual differences in behavior. Yet, it is increasingly clear that language users vary in a large number of ways: in culture, in demographics, and—critically for present purposes—in terms of cognitive diversity. Here, we explore how neurodiversity impacts behavior in an experimental task similar to the one summarized above, and how this behavior interacts with social pressures. We find both similarities and differences between autistic and nonautistic English‐speaking individuals, suggesting that neurodiversity can impact language change in the lab. This, in turn, highlights the potential for future research on the role of neurodivergent populations in language evolution more generally.

Bibliographie citée par cette référence

Les références citées sont importées depuis des sources externes de métadonnées lorsqu’elles sont disponibles. La liste peut être partielle.

Vue d’ensemble de la bibliographie citée

Ces indicateurs décrivent la bibliographie citée par cette publication. Un nom d’auteurice est compté chaque fois qu’il apparaît dans une référence citée : une même personne peut donc être comptée plusieurs fois. Les noms qui ne sont pas encore associés à un·e auteurice déjà présent·e dans AutiHub sont traités comme inconnus, pas comme non autistes. Dernier calcul : 29/10/2026 17:24.

Références citées
93
Avec un DOI
82
Sans DOI, à partir du texte brut de la bibliographie
8
18 / 93 (19,4 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
6 / 93 (6,5 %)
Références avec noms d’auteurices détectés
87 / 93 (93,5 %)
Sans nom d’auteurice détecté
6
Sans titre structuré
6
Sans identifiant stable
8
Références avec noms bruts d’auteurices restant à vérifier
4
Références avec problème de récupération des métadonnées externes
2
Ces indicateurs portent sur les références citées affichées sur cette page, après fusion des doublons techniques. Une référence sans DOI peut quand même soutenir les statistiques d’auteurices lorsqu’un titre et des noms d’auteurices sont disponibles.
Noms d’auteurices détectés dans la bibliographie citée
353
À partir du DOI ou de métadonnées externes
353
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
4
192 / 353 (54,4 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 161 / 353 (45,6 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
44 / 353 (12,5 %)
Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 44 / 192 (22,9 %). Personnes distinctes identifiées comme autistes : 31 / 279 (11,1 %).
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