Causes of work‐related injuries among young workers in British Columbia
Bibliographic record
Abstract
BACKGROUND: We conducted a study to determine the types and causes of serious injuries to young workers (YW) (ages 14-24) in British Columbia. METHODS: The WorkSafeBC database from 2000 to 2005 was searched for all claims, all non-health-care-only (NHCO) injuries and all serious injury claims involving workers aged 14-24. RESULTS: Of 384,250 NHCO claims, 15.6% were for YW, not significantly different from the British Columbia workforce (P > 0.75). Of the 5217 serious injuries, 9.8% (including 40 fatalities) were to YW-455 males and 56 females, significantly different from the workforce (50% male) ((2) = 259.8; df = 1; P < 0.001). Ten percentage of YW injuries occurred in the first week, 20% in the first month, of employment. Education level of injured YWs was lower than average for the provincial workforce. Only 38% of YWs injured in vehicle crashes (the most common cause of fatalities) were wearing seatbelts. CONCLUSIONS: Safety training should be provided before YWs start work and in media other than school. Seatbelt use should be addressed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".