Exploring the Benefits of an Optional Theatre Module on Medical Student Well-Being
Bibliographic record
Abstract
BACKGROUND: Medical students struggle with varied stressors and developing adequate coping mechanisms is essential. PURPOSE: This study examined medical student perceptions of the well-being impact of a theatre-based course. METHODS: Eighteen 1st-year medical students at the University of Alberta participated in 3 focus groups following the conclusion of a theatre-based module that was piloted in the first quarter of 2010. A semistructured protocol was used to guide the focus groups, which were audiotaped and transcribed. Along with general feedback, impact on personal development and student well-being were discussed. Thematic aspects of these discussions were qualitatively analyzed. FINDINGS: During the focus groups, medical students identified three aspects of the theatre-based module that contributed to their sense of overall well-being. These included (a) fun/relaxation, (b) enhanced relationships with each other, and (c) personal growth/resilience. CONCLUSION: Our findings suggest that participating in an optional theatre module can enhance medical student well-being. Our analysis suggests the need to consider novel, humanities-based curriculum offerings in relation to personal development and well- being.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".