Disabled Workers and Wage Losses: Some Evidence from Workers with Occupational Injuries
Why this work is in the frame
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Bibliographic record
Abstract
Using data from the Survey of Ontario Workers with Permanent Impairments (1989–90), the authors examine the effects of work-related disabilities on the wage losses of disabled male workers. One important focus of the analysis is whether the size of disabled workers' wage losses was affected by whether they remained at or left the job where the accident occurred. The authors also estimate the longer-term persistence of wage shocks for disabled workers. The estimates suggest that wage losses were larger for disabled workers who did not return to work with their time-of-accident employer than for those who did return, with the latter earning 27% more. Furthermore, wages appear to have been more persistent for workers who did not return to their accident employer than for those who did return.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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