Paper versus Practice : Occupational Health and Safety Protections and Realities for Temporary Foreign Agricultural Workers in Ontario
Bibliographic record
Abstract
Over 20,000 temporary foreign agricultural workers come to Ontario each year, primarily from Mexico and the Caribbean. Agricultural workers are exposed to a number of occupational health and safety (OHS) risks. This article discusses the various OHS protections available to workers and their limitations, and analyzes the specific challenges that temporary foreign workers face in accessing rights, such as language and cultural barriers, information gaps, and precarious employment and immigration status. It also analyzes the limitations with respect to OHS training and the provision and use of personal protective equipment, arguing that these protections are under-regulated and inconsistent. The article concludes with recommendations to improve shortcomings, including standardized and specific OHS training, random OHS inspections, and full inclusion of agricultural workers in provincial legislations. Findings are based primarily on interviews with 100 migrant farmworkers who reported injuries or illness, as well as with key stakeholders such as employers and government officials.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".