Professional Regulation and Interprofessional Collaboration in Occupational Therapy
Bibliographic record
Abstract
Interprofessional collaboration, an important enabler of high-quality care, involves a team-based approach to treatment where health professionals from separate disciplines develop cohesive cultures and collaborative behaviours. The goal of this dissertation was to describe how health profession regulatory models influence interprofessional collaboration (IPC) for Occupational Therapists in Ontario through three interrelated studies – a scoping review, comparative case study, and institutional ethnography. This dissertation proposes a framework for describing the characteristics of health profession regulatory models, recommends how multi-profession models of health profession regulation can influence consistency in IPC expectations across professions, and identifies provincial and health profession regulator policies that enable and create barriers to IPC. This paper concludes that IPC has not been a sufficient priority within contemporary regulatory frameworks and therefore it serves as an important area for future policy development, particularly as governments embark on regulatory reform.
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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 | 0.025 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".