RF-182 Adolescent trainees with learning disabilities on occupational health and safety: perception of risks and gender differences
Bibliographic record
Abstract
Introduction Adolescents with learning disabilities are vulnerable in terms of occupational health and safety (OHS). The Quebec Work-Oriented Training Path (WOTP) prepares them for the job market by offering pre-employment internships. Those are often typically feminine or masculine, and attract students according to their gender stereotypes. This segregation implies different OHS risks for women or men, who have chosen different environments. Considering this complex context, a research team is developing digital tools to improve the OHS management in the WOTP. Objectives The first step is to identify what students currently understand about OHS, the risks present in their internships, and how gender influence these elements. Methods A short answer questionnaire addressing these topics was completed by 131 WOTP students (38 girls and 93 boys). Results The three most popular work environments were garages (tire installer, 17 boys), retail stores (stock handler, 21 boys, 9 girls) and restaurants (fast-food counter attendant and cook’s helper, 17 boys, 6 girls). More than 40% of the girls are in typically female occupations: hair salon assistant (7), assistant childcare educator (5), grooming assistant (3) and recreation assistant (1). When asked if they perceived risks in their internships, 50% of girls and 80% of boys say yes. All girls say they consider OHS important or very important, while 13% of boys are indifferent or consider it not very important. Concerning the OHS training received at the workplace, 38% of the girls and 50% of the boys stated that they had received some. Conclusion These preliminary results suggest that girls and boys are not exposed to the same environments nor the same risks. The situation seems inequitable in terms of prevention and suboptimal for all, since a large proportion reported not having an OHS training. These shortcomings should be considered in the development of new tools.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".