The migration ban policy cycle: a comparative analysis of restrictions on the emigration of women domestic workers
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Policies banning women domestic workers from migrating overseas have long been imposed by labour-sending states in the Indo-Pacific region. This article presents the complexities surrounding such bans by developing an overarching model of a migration ban policy cycle, which provides a theoretical framework for understanding the circumstances under which migration bans arise and play out. It examines the history of migration bans for four prominent labour-sending states – Indonesia, Nepal, the Philippines and Sri Lanka - to assess the causes, outcomes and extent of regional convergence of these policies. In doing so, we uncover two prominent policy narratives. The first involves labour diplomacy, where countries employ bans to negotiate superior working conditions and rights for migrant workers. The second concerns paternalist states as ‘protector’, where states are primarily motivated to reaffirm traditional gender norms. We conclude that migration bans have been most effective, both in curbing departures and achieving desired outcomes, when they are primarily motivated by labour issues and not gender politics. Nevertheless, even when used as a form of diplomatic negotiation, migration bans heighten the vulnerability of domestic workers to exploitation by pushing them into irregular pathways fraught with risk.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it