Teaching social accountability by making the links: Qualitative evaluation of student experiences in a service-learning project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Many medical students come into medicine with altruistic motives; few carry this altruism into their practice. As a result rural, remote and international areas are underserved by the medical community. Teaching social accountability may help students remain altruistic and encourage work in underserved areas. Making The Links (MTL) is a project designed to teach medical students the social aspects of medicine via service-learning. AIMS: The purpose of the study was to explore student reflections on their experiences during the MTL program. METHODS: Qualitative data analysis was conducted using structured open-ended written questionnaires. Fourteen students, representing three student cohorts, participated in the study. Data was collected between 2005 and 2007. RESULTS: Six themes emerged from qualitative data analysis. (1) relationships, (2) social determinants of health in real life, (3) community development, (4) interdisciplinarity, (5) linking health and communities, and (6) personal learning. Themes reflected the opportunities and challenges experienced by the students during the MTL project. Students reported that MTL was an essential component of their medical training. CONCLUSIONS: MTL is a promising model for using service-learning to teach social accountability in medical training.
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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 | 0.040 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it