The structure and process of workers’ compensation systems and the role of doctors: A comparison of Ontario and Québec
Bibliographic record
Abstract
BACKGROUND: This study sought to identify impacts of compensation system characteristics on doctors in Québec and Ontario. METHODS: (i) Legal analysis; (ii) Qualitative methods applied to documentation and individual and group interviews with doctors (34) and other system participants (31); and (iii) Inter-jurisdictional transdisciplinary analysis involving cross-disciplinary comparative and integrative analysis of policy contexts, qualitative data, and the relationship between the two. RESULTS: In both jurisdictions the compensation board controlled decisions on work-relatedness and doctors perceived the bureaucratic process negatively. Gatekeeping roles differed between jurisdictions both in initial adjudication and in dispute processes. Québec legislation gives greater weight to the opinion of the treating physician. These differences affected doctors' experiences. CONCLUSIONS: Policy-makers should contextualize the sources of the "evidence" they rely on from intervention research because findings may reflect a system rather than an intervention effect. Researchers should consider policy contexts to both adequately design a study and interpret their results. Am. J. Ind. Med. 59:1070-1086, 2016. © 2016 Wiley Periodicals, Inc.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".