Factors Influencing the Health and Safety of Temporary Foreign Workers in Skilled and Low-Skilled Occupations in Canada
Bibliographic record
Abstract
This article reports on a study of occupational health and safety (OHS) challenges for temporary foreign workers (TFWs) in low- and high-skilled occupations, based on twenty-two cases drawn from a broader study in three Canadian provinces. Interviewees in construction, meat processing, hospitality, and fast food reported concerns regarding working conditions and OHS issues. They include precarious migration status affecting voice; contrasting access to social support; and mechanisms undermining regulatory effectiveness. Sources of vulnerability include closed work permits (making workers dependent on a single employer for job security and family reunification); ineffective means to ensure contractual compliance; and TFW invisibility attributable to their dispersal throughout the labor market. Violations include increased workload without an increase in pay and non-compliance with OHS and contractual rules without oversight. Positive and negative practices are discussed. Recommendations include improving migration security to preserve worker voice and facilitating communication between immigration and OHS authorities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".