The Point of No Return? Impediments to Return to Work for Injured Migrant Agricultural Workers in Two Canadian Provinces
Bibliographic record
Abstract
Migrant agricultural workers employed through Canada's Temporary Foreign Worker Program face serious occupational health and safety hazards, with compounded difficulties in accessing workers' compensation (WC) if they are sick or injured by the job. Little is known, however, about their ability to return to work (RTW) upon recovery-a fundamental right included in the conception of WC, but complicated by their restrictive work permits and precarious immigration status. Based on interviews with injured migrant workers in two Canadian provinces (Quebec and Ontario), our research suggests that workers' RTW process is anything but straightforward. This article highlights three key issues-pressure to return to work prematurely, communication and bureaucratic challenges with WC agencies, and impacts of injury/illness and failure to return to work on workers' long-term well-being. Consequences and opportunities for reform are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".