Health Beyond Borders: Migration and Precarity in South Asia
Bibliographic record
Abstract
Abstract Migration patterns in South Asia are defined by temporary migration of low-wage labourers within and across national borders. The conditions in which migrants move, live and work expose them to multiple health risks that cause chronic ailments, mental health problems, and increase their susceptibility to airborne and waterborne diseases. Despite this, public policies and mainstream discourses in the region overlook migrants’ health needs or tend to pathologize them as carriers of infectious diseases. In this chapter, we take stock of the regional evidence on migrants’ health, presenting an overview of their health and the underlying social and structural determinants. In reviewing this evidence, we identify the high-risk and disempowering conditions in which they work, the transient nature of their lives and livelihoods, and the intersecting inequalities they face based on distinct aspects of their social location. Together, these conditions, identities and social locations produce distinct yet inter-related and interlocking oppressive states of insecurity, disempowerment, dispossession, exclusion and disposability, locking migrants in a continuing cycle of poverty and ill-health.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".