Research experiences for Canadian aspiring physicians: a descriptive analysis of medical school admission policies concerning research involvement in Canada
Bibliographic record
Abstract
BACKGROUND: Many aspiring physicians perceive research experience as a way to support their medical school applications; however, the importance of research experiences as articulated in medical school admission policies is unclear. This is significant since policies and other discursive signals about selection processes can influence the behaviour of aspiring physicians. The purpose of this study is to describe the ways through which Canadian medical schools articulate the importance of research experiences in publicly available policy documents. METHODS: From January to June 2021, the authors reviewed publicly available selection criteria, application materials, institutional and research-related web pages associated with the 17 Canadian medical schools alongside high-level Canadian articulations of important competencies for physicians. These materials were analyzed using a qualitative descriptive approach. The authors considered concordance and/or discordance within each school's stance on the importance of research experiences in their selection criteria and application materials. RESULTS: Research experiences are typically not explicitly required for entry into a Canadian Doctor of Medicine (MD) program; however, there are expectations that graduating physicians should understand research. All 17 Canadian medical schools signal an appreciation for the value of research on an institutional level. Review of selection criteria and application materials show that five Canadian medical schools suggest to aspiring physicians that research experiences are important for admission and four do not suggest that research experiences are important for admission. There were both intra-institution and inter-institution discordance concerning the importance of research experiences for medical school applicant selection in one and seven medical schools respectively. CONCLUSIONS: Given the significant variance among the 17 Canadian medical schools, it is worthwhile for medical schools to evaluate their front-facing admission policies with consideration of the potential impact it might have on the behaviour of aspiring physicians, to ensure best selection of future physicians.
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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 | 0.007 | 0.071 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 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".