St Joseph's Community Health Centre model of community-based interdisciplinary health care team education
Bibliographic record
Abstract
As our reliance on interdisciplinary health care teams for meeting the multidimensional needs of the community becomes greater, new interdisciplinary education programmes and learning experiences are needed to educate students and health care professionals to become better team players. The St Joseph's Community Health Centre (SJCHC) model of community-based interdisciplinary health care team education was developed with support from McMaster University and the Educational Centre for Aging and Health's Clinical Teaching Unit Without Walls. The SJCHC model is structured as one 3-h session each week for eight consecutive weeks and is an elective learning experience for students. Six to eight senior health, social science and other health-related students work with two group facilitators as a team on discussion theme topics: team dynamics; role issues and professional values; collaboration and conflict; communication, leadership and power; client-centred goal-oriented care; and consumerism issues. The success and impact of the SJCHC model has been measured by several primary and secondary outcomes outlined in the Charting the Outcomes of Educational and Clinical Approaches (COECA) model.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".