Medical school outreach and mentorship for rural secondary school students: a pilot of the Southwestern Ontario Medical Mentorship Program.
Bibliographic record
Abstract
INTRODUCTION: Rural communities in Canada face challenges with physician recruitment. Physicians from rural backgrounds are more likely to practise in rural areas; however, rural students are underrepresented in medical schools. To address this, the Southwestern Ontario Medical Mentorship Program (SWOMMP) was created to expose rural secondary school students to medical careers. METHODS: This pilot project involved a school-based interactive session run by rural medical students on paths to medicine, medical specialties and skills workshops of roughly 2.5 hours targeted to grades 10-12 university-level students in rural southwestern Ontario. Two sessions were held, 1 in a town with a population of 20 000 and the other in a town with a population of 5000. A survey was administered before and after the session to assess changes in interest in medical careers and in perceived barriers. RESULTS: Forty-five students participated in the sessions. After the sessions, 32 students (71%) were considering a career in health care, compared to 26 (58%) before the sessions. Almost all students (43 [96%]) found the session helpful or extremely helpful, and all reported they would recommend it to other classes. Finances, grades and length of schooling were the most commonly perceived barriers to pursuing a career in medicine; fewer students had concerns about finances and length of schooling after the sessions. Twenty-nine students (64%) enrolled in longitudinal mentorship with a medical student. CONCLUSION: This pilot project showed that a rural secondary school outreach program run by medical students can increase high school students' interest in medical careers. The project will continue and aims to expand and improve using the pilot study's data.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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 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".