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Enregistrement W4366776611 · doi:10.1002/aur.2928

Anti‐ableist language is fully compatible with high‐quality autism research: Response to <scp>S</scp> inger et al. (2023)

2023· letter· en· W4366776611 sur OpenAlexaff
Heini M. Natri, Oluwatobi Abubakare, Kassiane Asasumasu, Abha Basargekar, Flavien Beaud, Monique Botha, Kristen Bottema‐Beutel, Maria Rosa Brea, Lydia X. Z. Brown, Daisy A. Burr, Laurence Cobbaert, Christopher R. Dabbs, Donnie Denome, Shannon Des Roches Rosa, Mary Doherty, Beth Edwards, Chris Edwards, Síle Ekaterin Liszk, Freya Elise, Sue Fletcher‐Watson, Rebecca L. Flower, Stephanie Fuller, Dena Gassner, Morénike Giwa Onaiwu, Judith Good, Aimee Grant, Vicki L. Haddix, Síofra Heraty, Andrew Hundt, Steven K. Kapp, Nathan Keates, Trayle Kulshan, Andrew J. Lampi, Oswin Latimer, Kathy Leadbitter, Jennifer Litton Tidd, Marie Adrienne Robles Manalili, Menelly Martin, Anna Millichamp, Hannah E. Morton, Vishnu KK Nair, Georgia Pavlopoulou, Amy Pearson, Elizabeth Pellicano, Hattie Porter, Rebecca Poulsen, Zoë S. Robertson, Kayla Rodriguez, Anne M. Roux, Mary C. Russell, Jackie Ryan, Noah J. Sasson, Holly Smith Grier, Mark Somerville, Cole Sorensen, Kayden M Stockwell, Tauna Szymanski, Sandy Thompson‐Hodgetts, Martine van Driel, Victoria J. VanUitert, Krysia Emily Waldock, Nick Walker, Courtney Watts, Zachary J. Williams, Richard Woods, Betty Yu, Meghan Zadow, Jordyn Zimmerman, Alyssa Hillary Zisk

Notice bibliographique

RevueAutism Research · 2023
Typeletter
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensUniversity of AlbertaUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésAutismTerminologyPsychologyHarmMultidisciplinary approachDevelopmental psychologySocial psychologySociologyLinguisticsSocial science

Résumé

récupéré en direct d'OpenAlex

Singer et al. (2023) argue that the current lexical shift within autism research towards more neutral terminology hinders accurate scientific description of the wide range of autistic experiences, particularly within clinical and medical contexts. We disagree with these claims. Semantic guidelines for referring to disability, gender, race, and ethnicity are established components of research dissemination (e.g., Clauss-Ehlers et al., 2019), and are more, not less, scientifically precise. Recommendations informed by self-advocates are widely recognized as vital tools for mitigating societal biases—reflected and reinforced by language choices—that harm marginalized communities, including disabled individuals (Scully, 2008). Examples include the American Psychological Association's bias-free and inclusive language guidelines (APA, 2021) and the National Institute of Mental Health's ​​Stigma and Discrimination Research Toolkit (NIMH, n.d.). The language guidelines for autism research that Singer et al. object to were developed through diverse collaborations of autistic and nonautistic researchers, clinicians, scholars, and caregivers, informed by decades of intersectional, multidisciplinary autistic and disability rights scholarship. Specific recommendations, such as replacing terms like “risk” and “co-morbid” with the accurate equivalents “likelihood” and “co-occurring” offer a more inclusive alternative to the deficit construals that predominate most published autism research (Botha & Cage, 2022). Practical and inclusive terminology enables discussion of heterogeneity in autism presentation, is less likely to reinforce bias, and is more respectful than terminology with negative connotations. Importantly, these suggestions align with guidance from autistic people designated “profoundly autistic” (Whitty, 2020; Zimmerman, 2023) as well as broader autistic preferences (Keating et al., 2022). In contrast, the terms “required” by Singer et al. (e.g., “profound autism,” “severe,” and “challenging behavior”) are limited in their validity, utility, and specificity, are inconsistently defined, and dehumanizing to many autistic people (Kapp, 2023; Pukki et al., 2022). Specific descriptors of cognitive functioning, support needs, or other characteristics of autistic people are more precise and scientifically accurate than ambiguous terms like “profound” and “severe,” which gloss over strengths and the contexts in which impairments can become significantly disabling. Language consistent with existing guidelines can be used to describe differences that are disabling or impairing and their impact. Moreover, Singer et al. mischaracterize the guidelines' more nuanced engagement with difference and disability as describing “a simple ‘difference’.” Singer et al. assert that some autism researchers have been denied funding and have experienced heckling at public presentations due to language choices, citing a handful of tweets out of their original context. We do not condone harassment and would hope that feedback is delivered respectfully and with the intent to educate, not harm. Still, nonautistic people hold nearly all the power in autism research, including funding and publishing decisions. Members of the public have few opportunities to engage with researchers, and open platforms such as social media enable direct engagement between researchers and communities. Autism researchers should expect their work to be consumed and critiqued by the public, including autistic people affected by their research. Such critique is not bullying or weaponization, but feedback that offers autism researchers an opportunity for reflection and dialogue with the wider autistic community they purport​​ to serve. Autism researchers with concerns about how their work will be received should proactively seek guidance and consultation from autistic scholars and self-advocates. Further, Singer et al. claim that language guidelines “should not be dictated by mostly white, non-Hispanic individuals.” This statement reflects an ignorance of the scholarship of autistic people of color who have contributed to language guidance, including those designated as “profoundly autistic” and their families (Malone et al., 2022; McGann, 2021). These contributions have been made despite the significant barriers and discrimination that contribute to the pervasive underrepresentation of marginalized perspectives in the field. This includes autistic researchers (including minimally or nonspeaking), Indigenous and those representing the Global Majority, and others who endure the ongoing and disparate consequences of biased language and research agendas (Jones, 2022; Jones & Mandell, 2020). Tackling this power imbalance and increasing accountability is essential for improving autism research. Lastly, we extend an invitation for everyone to engage with respectful terminology to create more inclusive, representative, scientifically rigorous, and beneficial research for the entirety of the spectrum. This letter is authored and co-signed by a diverse group of autistic researchers, scholars, clinicians, and self-advocates with a wide range of clinical presentation and support needs, as well as nonautistic researchers, scholars, clinicians, and loved ones of autistic people. Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,035
score de la tête « metaresearch » (Gemma)0,021
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante, Science ouverte, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,382
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0350,021
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0080,016
Études des sciences et des technologies0,0030,003
Communication savante0,0030,001
Science ouverte0,0070,007
Intégrité de la recherche0,0020,026
Charge utile insuffisante (le modèle a refusé de juger)0,0010,028

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,183
Tête enseignante GPT0,443
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations35
Publié2023
Routes d'admission1
Résumé présentoui

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