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Enregistrement W4405004320 · doi:10.3389/fpsyt.2024.1513447

Editorial: Break the stigma: autism

2024· editorial· en· W4405004320 sur OpenAlexaff
Nichole E. Scheerer, Catalina S. M. Ng, Ava N. Gurba, Morgan L. McNair, Matthew D. Lerner, April Hargreaves

Notice bibliographique

RevueFrontiers in Psychiatry · 2024
Typeeditorial
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensWilfrid Laurier University
Organismes subventionnairesnon disponible
Mots-clésAutismPsychologyPsychosocialStigma (botany)Psychological interventionDevelopmental psychologyAutonomyClinical psychologyPsychiatryPolitical science

Résumé

récupéré en direct d'OpenAlex

Stigma can be extremely impactful. For autistic people, stigma increases camouflaging behaviours aimed at concealing their autistic traits (4), it interferes with their development of self-determination and autonomy (5), it undermines their psychosocial well-being (1,3), and it leads to adverse consequences such as suicidality (i.e., suicidal ideation, self-harm and suicidal attempts (6)). Further, for parents of autistic children, stigma around bilingualism was shown to discourage families from raising their autistic child bilingually (7).Autism stigma has been also shown to significantly impede the integration of autistic individuals into society, a theme addressed by multiple studies in this special edition. Persistent barriers, inadequate support systems, and entrenched societal attitudes exacerbate this issue, as is often seen within education. For example, in South Korea, Yoon et al. (8) highlight how systemic stigmatization in secondary education leads to bullying, trauma, and exclusion from further education and employment. The study emphasizes how societal values like elitism and meritocracy worsen these challenges, underscoring the need for targeted interventions. This issue is not unique to Korea. Ahlers et al. (9) explored the isolation of autistic students in self-contained classrooms in the U.S. and revealed that educators' attitudes contribute to this exclusion. They advocate for more inclusive practices that extend beyond physical integration and call for strategies to enhance educators' understanding of autism. One such strategy, investigated by Jenks et al. (10) in the UK, is to run a training program for university staff aimed at debunking stereotypes and improving understanding of autism. Although quantitative measures showed limited changes, qualitative data revealed substantial benefits, particularly through including autistic perspectives. This approach enhanced staff's nuanced understanding and practical application in their interactions with autistic students.Beyond education, integration barriers also exist in social service provision. Li and Qi (11) examined the challenges faced by NGOs in China working with autistic children, noting how funding structures and interactions with funders impacted the effectiveness of inclusion efforts. This study provides valuable insights into the barriers in social service provision that hinder the integration of autistic children and suggests the need for more targeted and effective solutions.In broader society, Boucher et al. (12) explored how non-autistic adults quickly form negative judgments about autistic children based on brief interactions. They found that adults with higher social competence and explicit autism stigma were more likely to hold negative perceptions of autistic children. Similarly, Jones and Sasson (13) found that college undergraduates often displayed patronizing and exclusionary attitudes towards autism. These studies underscore the need to address biases that contribute to social exclusion.Collectively, these studies call for more focus on autistic strengths, inclusive practices, better-informed societal attitudes, and targeted interventions to support the integration of autistic individuals across various educational and social contexts. From initial diagnosis, clinicians should provide strength-based information to highlight autism strengths and reduce stigma (14). To provide more support to autistic people, Shaw et al. (6) suggest a neurodiversity-affirmative approach to autism which may promote a more positive self-identity and improved mental health. Similarly, Riebel et al. (15) highlight the role of promoting self-compassion in reducing the self-stigma and shame often associated with autism. Researchers also emphasized the need to provide more opportunities for autistic people to make choices and exert autonomy (5,16). For example, Glaves and Kolman (1) advise that clinicians should take an intersectional perspective of their autistic clients' gender identities to reduce stigma and have a better understanding of the needs of the whole person. Providing adequate support and better educating autistic medical professionals may promote inclusion in the medical workforce (6).Another salient theme in this special issue was the role of research(ers) in perpetuating autism stigma. As researchers, we need to explicitly address the link between ableism and poor autism science (17). This means shifting away research that reduces autistic people to their perceived deficits and instead focuses on how socially constructed views of "abilities" contribute to autistic people's "disabilities". This can be achieved by centering autistic voices (18)(19)(20). Comprehensive participatory research promotes close collaboration with the autistic community and other autism stakeholders across all stages of research, allowing autistic people to share their perspectives and shape research priorities (17)(18)(19). Researchers also need to leverage the unique contributions autistic researchers bring to autism research. For example, when qualitative interviews are conducted by autistic/non-autistic researcher dyads, autistic participants report increased connection and comfort (18). Approaches like these that centre the autistic voice facilitate closer alignment and trust between autism research(ers) and the autistic community, promote novel research programs that are relevant to the priorities of autistic people, create more ethical and less ableist research practices, and ultimately culminate in reduced autism stigma.Together the articles in this special issue stress the fact that researchers, clinicians, and society more broadly need to do a better job at advocated for the rights of autistic people. This starts with the understanding that autistic people are a marginalized population that experience discrimination (19). It is not autism itself that leads to a poor quality of life, but instead, a lack of social support and acceptance. Social interactions are bidirectional, yet autistic people are under enormous pressure to learn about and accommodate the needs and preferences of non-autistic people (21). We need to shift our focus away from the outdated notion that autistic people need to be fixed and instead place the onus on non-autistic people to learn about and accommodate the needs of autistic people (19). By teaching and promoting neurodiversity, or the understanding that there are no "right" kinds of brains, non-autistic people can learn to accept and value autistic differences (10,(21)(22). Virtual autism acceptance programs for children (22) and high schoolers (21), and a training program for higher education staff (10), all demonstrated success in reducing stigma, but stigma reduction can also be achieved through greater social inclusion. For example, service dog placements were found to act as a social catalyst, decreasing experiences of judgement and stigma for autistic children by inviting others to approach and interact (23). By increasing non-autistic people's acceptance of individuals whose behaviours may not align with society's expectations, autistic people may garner more social support and ultimately experience an improvement in their quality of life.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil0,106

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,020
Méta-épidémiologie (sens strict)0,0050,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0040,001
Études des sciences et des technologies0,0030,004
Communication savante0,0060,006
Science ouverte0,0050,002
Intégrité de la recherche0,0180,017
Charge utile insuffisante (le modèle a refusé de juger)0,0320,019

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 Opus0,008
Tête enseignante GPT0,283
Écart entre enseignants0,275 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations4
Publié2024
Routes d'admission1
Résumé présentoui

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