Does Citizenship Status Matter in <scp>C</scp>anadian Agriculture? Workplace Health and Safety for Migrant and Immigrant Laborers
Bibliographic record
Abstract
Abstract This article explores how precarious legal status circumscribes differential inclusion in the agricultural labor market and affects workers' lives through a comparative study of workplace health and safety among temporary migrant guest workers and immigrants in Canada. Original, multimethod research with South Asian immigrant and Mexican migrant farmworkers examines employment practices, working conditions, and health‐care access. We find that both groups engage in precarious work, with consequences for their health and safety, including immigrant workers with citizenship. Nevertheless, migrant guest workers are subject to more coercive forms of labor discipline and a narrower range of social protection than immigrants. We argue that while formal citizenship can mitigate some dimensions of precariousness for farmworkers racialized as non‐white, achieving a more just, safer food system will require broader policies to improve employer compliance and address legislative shortcomings that only weakly protect agricultural labor.
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".