The Dalhousie Health Mentors Program: Introducing students to collaborative patient/client-centered practice
Bibliographic record
Abstract
The Dalhousie Health Mentors Program builds on a long history of interprofessional health education initiatives by introducing students in health and social care professions to chronic conditions and disabilities, patient/client-centredness, interprofessional learning, and team functioning. This large interprofessional education program (16 participating programs, 650 students) connects interprofessional student teams with Health Mentors, who are adult volunteers with chronic conditions, for a learning experience that extends over one academic year. Students explore their mentor's life story and chronic condition journey, the impact the condition has had on her/his life, and her/his experience with health care in general and interprofessional collaboration in particular. All aspects of the program planning, management, implementation, and evaluation have been interprofessional in nature. Lessons have been learned regarding.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".