Notice bibliographique
Résumé
The social and cultural dimensions of risk and protective factors for suicide within and between cultural, racial, and ethnic groups are poorly understood. We agree with Thompson that studies of groups, such as African Americans, that appear to have unique risk patterns for suicide could potentially inform our understanding not only of what renders some populations at higher risk of suicide, but also of the lesser studied role of protective factors. As we suggested in our article, suicide prevention has been slow to evolve, in large part owing to the limitations of using high-risk, primarily clinical approaches to prevention. We have called for integrating high-risk strategies (be they clinical or otherwise) with population-based approaches, which theoretically should benefit both entire cultural/ethnic/racial groups and individuals within the culture. Thompson’s comments suggest incorporating an additional perspective. There have been clear historic challenges in anthropology of connecting culture to individuals, resulting in a paucity of both theoretical perspectives and research methods. Both are necessary, neither one alone sufficient, were one to apply a “biopsychosocial”1 model to the study of suicide prevention. We have the theoretical and methodological frameworks to apply population-based approaches to suicide prevention. It is unclear whether we possess the same sophistication when it comes to studying the social and cultural dimensions of risk and protective factors for suicide. For many studies of suicide in men, samples have been drawn from predominantly White youth and elders, limiting the predictive power of such studies for girls and women and other age, racial, or ethnic groups. This limitation is gradually being recognized and addressed.2–4 Enriching our samples to include diverse groups is necessary, but this will demand that we redefine our measures of self-efficacy (bicultural self-efficacy), acculturation, and ethnic identity.5 These are complicated constructs that may not intuitively reflect accurate appraisals of the role of risk and protective factors for suicide or other deleterious outcomes. For example, Wong6 found that among Canadian Chinese adolescents, high acculturation was associated with a greater risk of delinquency. If accepting the attitudes and behaviors of the dominant culture is a potential risk factor, this will have direct implications for prevention of suicide and other violent behaviors. Engaging diverse groups in research studies will be insufficient, in and of itself, to elucidate the role that culture/ethnicity/race has in preventing suicide and other deleterious outcomes that may precede the taking of one’s own life. Such elucidation will require that we integrate rigorous measures of cultural perceptions of social belonging with an understanding of what the ramifications of belonging, or not belonging, may be.
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 | 0,026 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,009 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,390 | 0,179 |
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 ».