Do Conflicts of Interest Create a New Professional Norm? Physical Therapists and Workers’ Compensation
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size Acknowledgments Many thanks to Drs. Bryn Williams-Jones, Debbie Feldman, Matthew Hunt, and Barbara Mazer for helpful comments on drafts of this commentary. Maude Laliberté has scholarships from the Fond de recherche du Québec-Santé (FRQ-S) and the Canadian Arthritis Network (CAN). Maude Laliberté is assistant syndic at the Ordre professionnel de la physiothérapie du Québec. Anne Hudon is supported by a fellowship from the MENTOR program in collaboration with the Canadian Institutes of Health Research (CIHR), the Quebec Research Rehabilitation Network (REPAR), and the FRQ-S. Financial support for this work was also received from Dominion of Canada General Insurance administered by the Physiotherapy Foundation of Canada.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".