Newly Dependent: The Living Experiences of Transnational Women in North America
Bibliographic record
Abstract
My dissertation project, “Newly Dependent: The Living Experiences of Transnational Bangladeshi Women in North America” is a qualitative study of gendered migration in North America. North America is one of the most culturally and racially diverse continents in the world where immigrants contribute substantially to economic and social growth in both countries and the United States and Canada celebrate their heritage and identity as nations of immigrants. However, standing at the intersection of immigration, gender, and governmental regulation, I explore how the visa apparatus shapes the experiences of transnational Bangladeshi immigrant women in North America. Using ethnographic observations and in-depth interviews, I particularly explore how the dependent visa regimes in North America are being used as a biopolitical tool to influence and control women visa holders’ subjectivities. Specifically, the study reveals four interrelated issues of dependent visa regimes in North America. First, the study sheds light on how the dependent visa regimes are being used as biopolitical tools by both the United States and Canada with different intentions and outcomes. Second, the study explores how the apparently gender-neutral dependent visa regimes (particularly in the United States) are gender biased and creates a culture of mandatory-housewifing, which uncovers the third findings, the hierarchical relationship between the primary (husbands) and dependent (wives) visa holders. Finally, the study explores how the vicious cycle of dependence impacts and influences on the personal and professional autonomy of participants. Thus, in this study I elaborate that the dependent visa regime not only controls the physical movements of the visa holders, but it also impacts on the personal and professional lives of the visa holders, that eventually takes tolls on their mental, emotional and physical wellbeing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".