How many injured workers do not file claims for workers' compensation benefits?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Anecdotal evidence suggests that there are injured workers who do not file for workers' compensation (WC). Several recent studies support this, and we aim to quantify the extent of under-reporting. METHODS: A Canadian survey asked about work injuries in the previous year, and several questions established eligibility for WC and whether a claim had been filed. The proportion of eligible injuries with a claim was estimated. Logistic regression identified predictors of claim submission. RESULTS: Of 2,500 respondents, 143 had incurred an eligible injury, of whom 57 (40%, 95% CI 32-48%) had not filed a WC claim. Severity of injury was the strongest predictor of not claiming. CONCLUSIONS: Survey respondents reported a substantial degree of under-claiming of WC benefits, contrasting with public attention on fraudulent over-claiming. Policy makers should ensure that all relevant parties are aware of their obligations to report work injuries. This will create a more accurate picture of work safety.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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