Co-cultural Communication Strategies and Agency of Women in Sinf-e- Ahan
Notice bibliographique
Résumé
This study employs the co-cultural theory of Mark Orbe to explore how women in Pakistani television drama Sinf-e-Ahan utilised various communication strategies. It employs qualitative content analysis to analyse how female characters, as representatives of co-culture group members in the drama, negotiate their status through communication and use various communication approaches, such as assimilation, accommodation, and separation, to achieve their preferred goals. The study has analysed the female characters of Sinf-e-Ahan and explored 23 episodes of the drama to extract specific dialogues and scenes, in which female characters use communication strategically as a response to conservative norms, societal oppression, and marginalisation due to the dominant group in society. Moreover, the research has focused on the dialogues and scenes of the drama for a co-cultural communicative analysis of the communicative experiences and practices of female characters in the dearth research has focused on the dialogues and scenes of the drama, for a co-cultural communicative analysis. The findings of the study reveal that the female characters in the drama, as representatives of cultural groups, employ nine distinct communication orientations and various communication practices in their encounters with the dominant group. This study concludes that despite their limited power, they use communication strategically as a response to the conservative norms of society and to achieve their preferred goals. References Ade, N. P. (2021). Rethinking the implications of the patriarchic system of male dominance and female subordination in the twenty-first century. International Journal of Sustainability Management and Information Technologies, 5(1), 1–6. Bie, B., & Tang, L. 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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 | 0,001 | 0,001 |
| 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 | 0,001 |
| 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 ».