Survey of Canadian urology programs: Which aspects of the Canadian Residency Matching Service (CaRMS) application are the most important?
Bibliographic record
Abstract
INTRODUCTION: For medical students, determining which aspects of the Canadian Residency Matching Service (CaRMS) application are the most important when applying to residency programs can be challenging. Due to the lack of current and reliable information on the selection criteria of Canadian urology residency programs, we surveyed each program about which criteria are the most important when selecting future residents in order to provide medical students with more transparency and programs with a better idea of how their criteria compare to those of others. METHODS: An electronic survey was sent to all 13 Canadian urology residency programs (both program directors and selection committee members). It asked respondents to rate each aspect of the application on a five-point Likert scale. Following a 100% response rate from program directors, the same survey was sent to selection committee members. A numeric mean score was calculated for each individual aspect surveyed to create an overall rank list of the components. Independent samples t-tests (two groups) were used to compare the scores of program directors vs. program committee members and of francophone programs vs. anglophone programs. RESULTS: Forty-three urologists involved in the application process answered. The three most important aspects were rotation performance at the respondent's institution (4.95±0.21), quality of reference letters from a urologist (4.60±0.62), and interview performance (4.49±0.63). There were no statistically significant differences between program directors and committee members for mean score of any aspect surveyed. Compared to anglophone programs, francophone programs gave statistically more significant importance to French proficiency (p<0.001) and pre-clinical academic performance (p=0.0272), while giving less importance to English proficiency (p<0.001). CONCLUSIONS: Canadian urology residency programs are similar in that they rank "clinical performance during a rotation at their school" as the most important selection criteria when choosing a future urology trainee. Graduate degrees, career plans, and reference letters from non-urologists have less impact when choosing future urology residents. Francophone schools and anglophone schools differ in the importance of language proficiency and preclinical grades as selection criteria for urology residency. This study will provide future urology applicants with more information and transparency when applying to urology programs in Canada and be of use to urology residency programs that must now publish their selection criteria.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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".