Interprofessional education and practice guide No. 5: Interprofessional teaching for prequalification students in clinical settings
Bibliographic record
Abstract
The importance of interprofessional education in health professions training is increasingly recognised through new accreditation guidelines. Clinician teachers from different professions may find themselves being asked to teach or supervise learners from multiple health professions, focusing on interprofessional dynamics, interprofessional communication, role understanding, and the values and ethics of collaboration. Clinician teachers often feel prepared to teach learners from their own profession but may feel ill prepared to teach learners from other professions. In this guide, we draw upon the collective experience from two countries: an institution from the United States with experience in guiding faculty to teach in a student-run interprofessional clinic and an institution from Canada that offers interprofessional experiences to students in community and hospital settings. This guide offers teaching advice to clinician educators in all health professions who plan to or already teach in an interprofessional clinical setting. We anticipate that clinician teachers can learn to fully engage learners from different professions, precept effectively, recognise common pitfalls, increase their confidence, reflect, and become role models to deliver effective teaching in interprofessional settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".