Contending With Precarity: Health and Multi-Sectoral Supports for Migrant Agricultural Workers in Southern Ontario
Bibliographic record
Abstract
Research has long-documented how Canada's temporary foreign worker programs (TFWP) foster workers' precarity through their status as non-citizens and living and working conditions, ultimately, impacting their health. While studies point to limited supports and services for workers, their role in reinforcing or alleviating the precarious conditions that migrant agricultural workers experience remains largely unexplored. This paper draws on interviews with 35 service providers in three migrant-intensive regions in southwestern Ontario, to explore how service providers describe and construct support. We explore the barriers workers face in accessing services, challenges providers experience in supporting workers, and strategies employed to surmount these barriers. We argue that this multiregional analysis is important to illuminate how support shapes and is shaped by the larger structural context, namely common features of Canada's TFWP. A more comprehensive understanding of support moreover, provides direction for sustainable interventions that can promote the health and wellbeing of this population.
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How this classification was reachedexpand
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".