Core competencies for health care professionals: what medicine, nursing, occupational therapy, and physiotherapy share.
Bibliographic record
Abstract
This paper describes the amalgamation of the core competencies identified for medicine, nursing, physical therapy, and occupational therapy and the "harmonization" of these competencies into a framework for interprofessional education. The study was undertaken at a Canadian university with a Faculty of Health Sciences comprised of three schools (namely, medicine, nursing, and rehabilitation therapy). Leaders in interprofessional education began to identify the common standards for the core competencies expected of learners in all three schools at commensurate levels to facilitate the integration of educational curricula aimed at interprofessional education across the Faculty. The model that was created serves as a basis for curriculum design and assessment of individuals and groups of learners from different domains across and within the four professions. It particularly highlights the relevance of cross-disciplinary competency teaching and 360-degree evaluation in teams. Most importantly, it provides a launch pad for clarifying performance standards and expectations in interdisciplinary learning.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".