Exploring the role of classroom-based learning in professional identity formation of family practice residents using the experiences, trajectories, and reifications framework
Bibliographic record
Abstract
BACKGROUND: Classroom-based learning such as academic half day has undervalued social aspects. We sought to explore its role in the professional identity development of family medicine residents. METHODS: In this case study, residents and faculty from four training sites in the University of British Columbia Department of Family Practice were interviewed. The "experiences, trajectories, and reifications (ETR) framework" was used as a sensitizing tool for modified inductive (thematic) analysis of the transcripts. RESULTS: Classroom-based learning provided a different context for residents' interpretation of their clinical experiences, characterized as a "home base" for rotating urban residents, and a connection to a larger academic community for residents in rural training sites. Both these aspects were important in creating a positive trajectory of professional identity formation. Teaching directed at the learning needs of family physicians, and participation of family practice faculty as teachers and role models was a precipitation of a curriculum "centered in family medicine." Interactions between family medicine residents and faculty in the classroom facilitated the necessary engagements to reify a shared understanding of the discipline of family practice. CONCLUSIONS: Classroom-based learning has substantial impact on professional identity formation at an individual and collective level.
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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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".