Interprofessional education internships in schools: Jump starting change
Bibliographic record
Abstract
Placing our practicum students into an interprofessional education (IPE) practicum without prior course work is an unorthodox idea, however, it was discovered that the road to IPE success is not along a single pathway. This multi-case study explores the experience of seven cohorts of pre-service professionals from the faculties of Education, Nursing, Justice Studies, Kinesiology and Health Studies and Social Work who engaged in a 14-week, full-time interprofessional internship in inner-city schools. Findings suggest that this IPE practicum provided a forum for students to develop sophisticated communication skills and more fully respect the scope and breadth of each other's practice while working towards improving the quality of care for children through interprofessional collaboration. The discussion raises issues related to: the unique challenges of IPE in community-based settings, where lack of mentoring and issues related to “authenticity” emerge; “othering” and the ways in which discourse re-inscribes racist ways of knowing; and the value of co-constructed learning and the need to respond to emerging needs in context rather than in a linear, sequential process. Over two years, it was discovered that a seemingly backward approach to IPE moved our agenda forward in directions we had not anticipated.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".