"So, I Stayed:" Narratives of Agency from Punjabi-Canadian Women in Forced Marriages
Bibliographic record
Abstract
Moving away from dominant culture-based explanations of forced marriage which categorize women remaining in their marriages as victims, this thesis investigates the complex ways Punjabi-Canadian diasporic women practice agency and restructure oppressive systems while staying in their transnational forced marriages. Through integrating debates in postcolonial theory and feminist standpoint theory and employing qualitative research methods, this study uses semi-structured interviews and leverages Indigenous pedagogy (i.e., storytelling) to provide space for Punjabi women to speak to their own experiences rather than be spoken for. In doing so, this research offers an account grounded in the vernacular model of embodied subjectivities, kin and social attachments, diasporic networks, and structural relations of power in public and private spheres, thus shedding light on women’s complex decision-making strategies and experiences when remaining in their forced marriage.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".