A medical student's perspective of participation in an interprofessional education placement: An autoethnography
Bibliographic record
Abstract
Interprofessional education (IPE) has emerged as a critical pedagogy for promoting interprofessional collaboration (IPC) within healthcare. However, the literature includes few reports of students' perspectives on IPE experiences. Understanding students' experiences is critical, as they are the crux of IPE's culture change agenda. This paper presents an autoethnographic account of my experiences as a medical student participating in an IPE placement within a Canadian academic hospital. During the five-week placement, I collected data using participant observation and reflective journaling on all placement experiences. I expanded my notes using the emotional recall technique and conducted thematic analysis. Using a series of narrative vignettes, this paper explores the relationships between my personal experience and the cultural and educational issues underpinning IPE. The first vignette explores the relationship between students' patient access and our status in tutorial discussion. The second vignette considers the impact of shadowing on my appreciation of another professional's practice. The last vignette portrays my experience learning about the complex politics that shape IPC. The conclusion suggests that the IPE placements incorporate reflexive activities (i.e., journaling and interviewing) to enhance the students' appreciation and understanding of roles, responsibilities and professional perspectives, and to promote critical thinking and professional growth.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".