The Portrayal of Tourette's Syndrome in Film and Television (P06.041)
Notice bibliographique
Résumé
Objective: To determine the representation of Tourette9s Syndrome (TS) in fictional movies and television programs by investigating recurrent themes and depictions. Background Television and film can be a source of information and misinformation about medical disorders. TS has received attention in the popular media, but no studies have been done on the accuracy of the depiction of the disease. Given this, we sought to analyze the representation of TS in fictional television programs and films. Design/Methods: International internet movie databases were searched using the terms “Tourette9s”, “Tourette9s Syndrome”, and “tics” to generate all movies, shorts, and television programs featuring a character or scene with TS or a person imitating TS. Movies and television programs were excluded if they were nonfiction, or in foreign languages that were not subtitled or dubbed in English. After viewing, movies were further excluded based on relevance. Using a grounded theory approach, we identified the types of characters, tics, and co-morbidities depicted as well as the overall representation of TS. Results: 37 television programs and films were reviewed dating from 1976 to 2010. Fictional movies and television shows gave an overall misrepresentation of TS. Tics depicted had a disproportionate representation on coprolalia. Furthermore, characters were sometimes depicted as having symptoms similar to autism spectrum disorder rather than TS. The role of physicians was portrayed as unsympathetic and only focusing their treatment on medical therapies. Finally, school, family and relationships were nearly always depicted as being negatively impacted by TS, leading to a poor quality of life for characters with TS. Conclusions: Films and television are an easily accessible resource for patients and the public that may influence their beliefs about TS. Physicians should be aware that TS is often inaccurately represented in television programs and film and acknowledge such misrepresentations in order to counsel patients accordingly. Disclosure: Dr. Calder-Sprackman has nothing to disclose. Dr. Doja has nothing to disclose. Dr. Sutherland has nothing to disclose.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».