The relationship between worker, occupational and workplace characteristics and whether an injury requires time off work: A matched case‐control analysis in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to examine individual, occupational, and workplace level factors associated with time loss following a similar injury. METHODS: Seven thousand three hundred and forty-eight workers' compensation claims that did not require time off work were matched with up to four claims that required time off work on the event, nature, and part of body injured as well as injury year. Conditional logistic regression models examined individual, occupational, and workplace level factors that were associated with the likelihood of not requiring time off work. RESULTS: Employees from firms with higher premium rates were more likely to report no time loss from work and workers in more physically demanding occupations were less likely to report no time loss from work. We observed no association between age or gender and the probability of a time loss claim submission. CONCLUSIONS: Our results suggest that insurance costs are an incentive for workplaces to adopt policies and practices that minimize time loss following a work injury.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".