33 Just Labour: A Canadian Journal of Work and Society—Volume 20 —Summer 2013 HEALTH AND SAFETY FOR CANADIAN YOUTH IN TRADES
Bibliographic record
Abstract
This article examines occupational health and safety (OHS), with a particular focus on youth apprentices. It uses quantitative and qualitative data to examine the incidence of injuries among youth apprentices, and their experiences related to health and safety at work in Canada. Analysis of large-scale national surveys suggests a high incidence of work-related injuries among youth and low participation rates of younger workers in formal OHS training. A survey of 173 former Ontario Youth Apprenticeship Program (OYAP) and Registered Apprenticeship Program in Alberta (RAP) participants finds that one-fifth suffered serious occupational injuries, which required time off work. The results from this study have important implications for youth apprenticeship programs, particularly the OHS- and trade-specific knowledge required for youth to work safely during and following their apprenticeship training.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.001 |
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".