Trends and characteristics of compensated occupational cancer in Ontario, Canada, 1937–2003
Bibliographic record
Abstract
BACKGROUND: In Canada, administrative databases maintained by provincial workers' compensation boards are often the best or the only available data source for describing trends and characteristics of occupational cancer. In Ontario, approximately 75% of the labor force is covered by the Ontario Workplace Safety and Insurance Board (WSIB) and allowed cancer claims date back to 1937. METHODS: The purpose of this study was to describe WSIB-allowed cancer claims by worker demographics, claim characteristics, year of filing, cancer type, and work exposure measures including workplace agent, occupation and industry. RESULTS: In total, claims were filed and compensated for one or more malignant neoplasms by, or on behalf of, 3,126 workers between 1937 and 2003. CONCLUSIONS: Results show trends in cancer compensation reflecting changes in the characteristics and prevalence of workers exposed to workplace carcinogens, as well as changes to WSIB adjudication policies over time.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".