Notice bibliographique
Résumé
This In Review is intended to provide a statement about the stigmatization of mental illnesses from 2 different but complementary perspectives: one from the vantage of public stereotypes, particularly those expressed by mental health and health providers'; and the other from the vantage of self-stigma, which occurs when an individual internalizes negative stereotypes and experiences a range of negative psychosocial and interpersonal consequences.2 Both papers identify key issues and offer strategies that can be used to reduce the stigma caused by a mental illness. The theoretical literature dealing with stigma and discrimination is vast and dates to the middle of the last century with the seminal work of Goffman,3 who examined stigma from the perspective of spoiled social identity and who recognized that mental illnesses were among the most deeply discredited of all stigmatized conditions. In Asylums, Goffman4 was highly critical of the mental hospitals of the day for their antitherapeutic and stigmatizing effects. Along with contemporaries, such as Scheff and Szasz,6 these writers reinforced the concept that the negative and debilitating consequences of mental illnesses were more a result of the way in which psychiatry was organized rather than the illnesses themselves. In modern times, despite having replaced asylums with general hospital psychiatric units and an array of community supports and services, people who have a mental illness still experience society's negative response to them as more devastating, disabling, and life-limiting than the illness itself.7 The paper by Dr Patrick W Corrigan and Dr Deepa Rao2 highlights the insidious process of self-stigmatization that may occur and describes novel approaches that have been used to reduce internalized stigma and to improve self-esteem and empowerment. While these smaller, focused efforts are not intended to improve public perceptions or behaviours, they do hold considerable promise for an individual's personal recovery. Dr Julio Arboleda-Florez and I' also include stigma selfmanagement as 1 of 6 approaches that may be used to disrupt the stigmatization process. From the original focus on stigma as a by-product of the social organization of psychiatry and psychiatric services, much of the subsequent theory has pertained to the social psychology of stigma, outlining the cognitive and attitudinal components necessary to create and maintain stigmatized world views. From this vast array of research, it is clear that one of the most fundamental characteristics of stereotypes is that, once established, they are highly resistant to change.8 This suggests that we will need powerful multi-level strategies that address stigma at individual, interpersonal, and social-structural levels. It also suggests that it will be important for antistigma activists to begin work early, before stereotypes have crystallized. In addition, to be successful, interventions must become a routine part of our institutionalized response to stigmatization. Short-lived bursts of activity are unlikely to create the level of sustained change that will be required to improve quality of life for people who have a mental illness and for their family members. Therefore, stigma reduction must be viewed as a transgenerational challenge. Quantitative researchers have spent considerable time documenting the scope and content of public stigma. For example, in their review of the literature between 1990 and 2004, Angermeyer and Dietrich9 identified 33 national studies and 29 local and regional studies, most of which were conducted in Europe. Among these, only 6 were attempts to evaluate population-based interventions, and 4 of these focused on depression - 1 of the disorders demonstrated in population surveys to be the least negatively viewed.10 No study examined whether changes in attitudes corresponded to changes in behaviour - arguably, the most important end point for antistigma programming. …
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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».