Age-related differences in work injuries: A multivariate, population-based study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Many population-based studies find that the rate of work injuries is higher among adolescent and young adult workers compared to older adults. The present study examines age-related differences in work injuries, with an emphasis on adjusting for the potential confounding effects of job characteristics. METHODS: Age-related differences in work injuries were examined in a representative sample of 56,510 working Canadians aged 15 years and over. Respondents reported work-related injuries and job characteristics (e.g., occupation) in the past 12 months. Total hours worked in the past year were computed for each worker and accounted for in the logistic regressions. Analyses were stratified by gender. RESULTS: For men, adjusting for job characteristics substantially reduced, but did not eliminate the elevated risk status of adolescent and young adult workers. For women, only young adult women showed an elevated risk of work injury with job characteristics controlled. CONCLUSIONS: This is one of the few multivariate studies specifically examining contributors to age-related differences in work injuries in a population-based sample of workers. The substantial reduction in age-work injury association in the fully adjusted model suggests that differences in the types of jobs young workers hold play a critical role in their high-risk status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it