Coverage Gaps and Cost-Shifting for Work-Related Injury and Illness: Who Bears the Financial Burden?
Bibliographic record
Abstract
The heavy economic burden of work-related injury/illness falls not only on employers and workers' compensation systems, but increasingly on health care systems, health and disability insurance, social safety net programs, and workers and their families. We present a flow diagram illustrating mechanisms responsible for the financial burden of occupational injury/illness borne by social safety net programs and by workers and their families, due to cost-shifting and gaps in workers' compensation coverage. This flow diagram depicts various pathways leading to coverage gaps that may shift the burden of occupational injury/illness-related health care and disability costs ultimately to workers, particularly the most socioeconomically vulnerable. We describe existing research and important research gaps linked to specific pathways in the flow diagram. This flow diagram was developed to facilitate more detailed and comprehensive research into the financial burden imposed by work-related injury/illness, in order to focus policy efforts where improvement is most needed.
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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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| 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".