Live-in or locked-out: housing of migrant workers before and during COVID-19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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