Live-in or locked-out: housing of migrant workers before and during COVID-19
Bibliographic record
Abstract
This article presents a comparative policy analysis of housing arrangements for migrant caregivers and farmworkers before and during COVID-19. By Juxtaposing structural conditions and industrial sectors, we explore the link between housing and labour migration regime, analysing its implications on migrant workers’ living conditions. Despite substantial differences in housing arrangements, prioritising employers’ needs and ethnonational values over migrant workers’ well-being and rights places migrant workers in both sectors at risk of exploitation. Crisis conditions, such as COVID-19, exacerbate the vulnerability of migrant workers to exploitation. By unpacking the repercussions of disparities between official rights-based housing policy and their implementation, this article seeks to contribute to the literature on the intersection between labour migration and housing policies. Rooted in a structural perspective on labour exploitation, we argue that bridging these disparities and preventing exploitation, while improving migrant workers’ living conditions, requires policymakers to address power imbalances between employers and migrant workers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".