Cohort profile: the Ontario Life After Workplace Injury Study (OLAWIS)
Bibliographic record
Abstract
PURPOSE: The substantial economic burden of work-related injury and illness, borne by workers, employers and social security programmes, is primarily attributed to the durations of work disability among workers whose recovery requires a period of absence from work, with the majority of costs arising from the minority of workers with the longest duration absences. The objective of the Ontario Life After Workplace Injury Study is to describe the long-term health and labour market outcomes of workers disabled by work injury or illness after they are no longer receiving benefits or services from the work disability insurance authority. PARTICIPANTS: Workers disabled by a work-related injury or illness were recruited from a sample frame of disability benefit claimants with oversampling of claimants with longer benefit durations. Characteristics of workers, their employers and claimant benefits were obtained from baseline administrative data. Interviews completed at 18 months post injury (T1) and to be completed at 36 months (T2) measure return-to-work and work status; income; physical and mental health; case manager and healthcare provider interactions and employer accommodations supporting return-to-work and sociodemographic characteristics. Of eligible claimants, 40% (1132) participated in the T1 interview, with 96% consenting to participate in the T2 interview. FINDINGS TO DATE: Preliminary descriptive analyses of T1 data have been completed. The median age was 50 years and 56% were male. At 18 months following injury, 61% were employed by their at-injury employer, 16% had changed employment and 23% were not working. Past-year prescription opioid use was prevalent (34%), as was past-year cannabis use (31%). Longer duration claimants had poorer function, recovery and health and more adverse labour market outcomes. FUTURE PLANS: Multivariate analyses to identify modifiable predictors of adverse health and labour market outcomes and a follow-up survey of 96% of participants consenting to follow-up at 36 months are planned.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".