Notice bibliographique
Résumé
Abstract Despite growing awareness, misconceptions about autism (also known as autism spectrum disorder or ASD) persist within science, academia, and popular culture. These misconceptions perpetuate harmful stereotypes that contribute to the ongoing stigma, exclusion, and isolation experienced by autistic individuals. A significant barrier to overcoming these challenges is the underrepresentation of autistic voices across multiple fields and disciplines, making it difficult to effectively challenge and transform prevailing social norms and attitudes about disabilities and neurological differences. While efforts are being made by advocates to improve representation through community-based participatory research and coproduction models, the arts remain a particularly powerful yet underutilized tool for disrupting problematic discourse. Through creative expression, the arts offer a unique avenue to subvert reductionistic pathologies, dehumanizing language, and unfavorable depictions of autism that have been deeply engrained in both academic and cultural discourse. This poem critically engages with widespread stereotypes, using sarcasm and humor to reclaim and reshape existing depictions of autism. By doing so, it aims to empower fellow autistic individuals to challenge these narratives and express their own experiences through whatever creative mediums resonate with them, ultimately offering a more nuanced and representative understanding of autism in the process. Keywords: Arts, neurodiversity, critical autism studies, representation, stereotypes, subversion Author’s Note As an autistic scholar and artist, I rely on a combination of lived experience, community involvement, and research training within this creative piece. A significant source of inspiration comes from the 2SLGBTQIA+ community, particularly their powerful reclamation of terms like “queer” that were once used as weapons of marginalization and exclusion. By embracing and redefining these terms, this community has subverted their original pejorative meanings, transforming them into symbols of identity, pride, and resistance. This act of linguistic reclamation not only disrupts the power dynamics of hate and oppression but also fosters a sense of solidarity. In a similar vein, my work seeks to challenge and overturn the derogatory labels and misconceptions that have been imposed upon autistic individuals, using creative expression as a means to redefine our realities. Historically, academic and societal discourses have often dehumanized autistic people through harmful and reductive descriptions, perpetuating what I refer to in this piece as “myths” about autism. Through this work, I critically deconstruct these demeaning representations, employing a sardonic lens to counter these narratives and expose their absurdity. Incorporating examples from my experiences as an autism and neurodevelopmental researcher, I seek to highlight and dismantle these entrenched misconceptions, including deficit-based models, problematic pathologies, and stigmatizing descriptions of autistic individuals. As someone who experiences echolalia (i.e., the repetition of words, phrases, and sentences) and who frequently incorporates pop culture references when communicating with others, this piece also serves as a homage to the songs, films, and television shows that resonate with me and my special interests. To ensure clarity and accessibility for readers, I have included detailed endnotes that explain both the research references and the various pop culture elements, providing a comprehensive overview of the content and its meaning.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,000 |
| Études des sciences et des technologies | 0,011 | 0,057 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».