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Notice bibliographique
Résumé
Psychological and sociological approaches to theorizing prejudice have developed largely in isolation from each other. This paper aims to reconcile the two disciplines and generate new avenues for the empirical study of sexual prejudice. I adopt a post-structuralist analytical position which critiques the epistemological of both disciplines, in order to find useful and fruitful applications for future research. This critical literature review encompasses social psychological theorising regarding prejudice, tracing the development of the discipline from its early postwar beginnings to contemporary theories of prejudice. Key theorists of prejudice in sociology are then examined and critiqued, including Black feminist scholars, and the paper demonstrates how theorising about racial and gendered prejudice came to shape conceptualizations of sexual prejudice.I find that key authors from psychology and sociology made early contributions to the development of each discipline's understandings of prejudice with a critical point of departure after c.1955, around the time of the cognitive revolution, and the adoption of the quantitative science of psychology to social phenomenon. From then, an epistemological hierarchy was constructed as objectivism in psychology became mainstream, and sociology's philosophical underpinnings diverged from objectivism. I draw on the historical and contemporary theorising about prejudice from both disciplines to adopt an intersectional approach which accounts for racial, gendered, and sexual prejudice, which is provides a valuable framework for theorizing prejudice against sexual minorities.
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 | 0,012 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,003 |
| Communication savante | 0,000 | 0,001 |
| 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 ».