Students’ experience of prison health education during medical school
Bibliographic record
Abstract
BACKGROUND: Social responsibility and accountability can be important core values in medical education. At the University of British Columbia, undergraduate medical students engage in prison health community service-learning opportunities in regional correctional facilities. METHODS: To describe the impact of prison health exposure on pre-clinical medical students, in-depth individual interviews were conducted with individuals who had participated in a prison health medical education program. All interviews were transcribed verbatim, and interpretive descriptive methods were used to inductively derive thematic findings to describe students' experiences. RESULTS: Major themes emerged as students reported how (1) exposure to incarcerated populations increases students' insight into issues that diverse marginalized sub-populations encounter; (2) positive interactions with the incarcerated individuals enhances relationship building; (3) collaboration reinforces teamwork skills and (4) community placements garner important learning opportunities within the medical school curriculum. CONCLUSIONS: Our findings demonstrated that pre-clinical exposure to incarcerated individuals and prison health education provided a unique setting for medical students to develop an increased sense of social responsibility and accountability.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".