How many work‐related injuries requiring hospitalization in British Columbia are claimed for workers' compensation?
Bibliographic record
Abstract
BACKGROUND: Workplace compensation claims datasets represent an important source of information on work-related injuries. This study investigated the concordance between hospital discharge records and workers' compensation records for work-related serious injuries among a cohort of sawmill workers in British Columbia (BC), Canada. It also examined the extent to which workers' compensation capturing patterns varied by cause, severity of injuries, and demographic characteristics of workers. METHODS: Work-related injuries were identified in hospitalization records between April 1989 and December 1998, and were matched by dates and description of injury to compensation records. RESULTS: The agreement between the hospital records and compensation records was good (kappa = 0.84, P < 0.01). A lower claim reporting rate for work-related hospitalization was observed for older and non-white workers. More serious injuries defined by longer length of stay and emergency admissions were more likely to be reported. Falls, struck against, and overexertion injuries had lower reporting rates; whereas, machinery-related, cutting/piercing, and caught in/between injuries had higher reporting rates. CONCLUSIONS: When compared with hospital discharge records, the compensation agency underreported incidents of serious work-related injuries by 10-15% among the sawmill workers.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".