Co-cultural Communication Strategies and Agency of Women in Sinf-e- Ahan
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".