Social and economic consequences of workplace injury: A population‐based study of workers in British Columbia, Canada
Bibliographic record
Abstract
BACKGROUND: Existing research suggests that workplace injuries can have significant economic and social consequences for workers; but there are no quantitative studies on complete populations. METHODS: The British Columbia Linked Health Database (BCLHD) was used to examine 1994 injured workers who lost work time due to the injury (LT) and a group of injured individuals who did not lose time after their injuries (NLT). Three outcomes were explored: (1) residential change, (2) marital instability, and (3) social assistance use. Logistic regression adjusted for several individual and injury characteristics. RESULTS: LTs were more likely to move and collect income assistance benefits, and less likely to experience a relationship break-up than the NLTs. LTs off work for 12 or more weeks were more likely to receive income assistance than LTs off for less time. CONCLUSIONS: The increased risk suggests that the long-term economic consequences of disabling work injury may not be fully mitigated by workers compensation benefits.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".