Early labor force exit subsequent to permanently impairing occupational injury or illness among workers 50‐64 years of age
Bibliographic record
Abstract
BACKGROUND: Severity of workplace injury tends to increase with age. Whether older workers who experience a workplace injury or illness exit the labor force sooner than comparable peers is not established. METHODS: A case-cohort study design and complementary log-log model were used to identify factors associated with average time to early substantial labor force exit among workers' compensation claimants 50-64 years of age with permanent impairment from an occupational injury or illness. Analysis was based on Ontario's workers' compensation claimant data from 1998 to 2006 linked with Canadian tax files. RESULTS: Workers with permanent impairment left the labor force earlier, on average, than peers without claims. Early retirement was associated with older age in the injury/illness year, greater impairment, lower pre-claim income, physically demanding jobs, and soft-tissue injuries. CONCLUSIONS: Policies aiming to extend older adults' working lives should account for the potentially disparate impacts on older workers of occupational injury and illness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".