Interprofessional education: The student perspective
Bibliographic record
Abstract
The Toronto Rehabilitation Institute (Toronto Rehab) is a current leader in the movement of interprofessional education (IPE) initiatives in Ontario, Canada. Nine students from seven different health care disciplines, including medicine, nursing, occupational therapy, pharmacy, physiotherapy, social work, and speech language pathology participated in the second IPE clinical placement in the winter of 2005 on Toronto Rehab's Stroke inpatient unit. In an effort to increase interprofessional collaboration, improve communication skills, foster respect and enhance knowledge of the different roles each discipline plays on the health care team, these students met together over a five week period and participated in interprofessional group sessions led by different health care professional leaders from the unit. This paper discusses the students' perspectives on this IPE experience and the corresponding benefits and challenges. All participants in the study recognized the importance of interprofessional teamwork in patient care and agreed that all health care education should include opportunities enabling them to develop the skills, behaviours and attitudes needed for interprofessional collaboration.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".