Making space: Integrating meaningful interprofessional experiences into an existing curriculum
Bibliographic record
Abstract
Many health professional education programs have instituted, or are in the process of developing, structures for implementing interprofessional education (IPE). Professional organizations are also adopting IP competencies for their respective memberships and accreditations. Our IPE design and educational framework was informed by evidence gathered from professional organizations; the students' lived experience with traditional approaches and evolving IPE designs and data from our school's longitudinal curriculum evaluation study. This paper briefly describes the evolution and design of an embedded IPE program within an existing master's level curriculum - which meets not only curriculum competencies but also nationally recognizes IPE competencies. In addition, the embedded program articulates with a mandatory faculty-wide IPE initiative. The creation of embedded IPE within existing courses allowed for enriched learning opportunities for both discipline-specific and IPE knowledge without changing the overall curriculum structure.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".