Protection and Paternalism: Narratives of Nepali Women Migrants and the Gender Politics of Discriminatory Labour Migration Policy
Bibliographic record
Abstract
This article considers the current age and gender discriminatory migration laws in Nepal in their historical and socio-cultural context. Drawing on eight months of field- work and data collected from both migrants and migration policymakers I ask, What are the consequences of discriminatory laws on young Nepali women’s migration experiences? And why do gender and age discriminatory laws and policies persist in light of evidence that they may actually endanger migrants? I posit that historically dominant Hindu gender norms provide the basis for the paternalistic migration laws currently in place. I argue that age and gender discriminatory migration policies are rooted in patriarchal concern for women’s ijaat (social honour) and sexual purity. The result of discriminatory law is not a reduction in migration but an increase in irregular and illegal migration that exacerbates women labour migrants’ vulnerability to a variety of abuses. I conclude that examining discriminatory migration laws with an intersectional lens raises interesting possibilities for theorizing how and why these ineffectual laws persist.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.020 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".