Evaluation of Medical Career-Counseling Resources Across Canada
Bibliographic record
Abstract
BACKGROUND: North American medical school accreditation requires career counseling. PURPOSE: The Memorial University of Newfoundland (MUN) MedCAREERS program was implemented in 2000 before published evidence of efficacy of Canadian medical school career-counseling programs existed. METHODS: Data were gathered initially through the Canadian Residency Matching Service Post-Match Survey in 2003 and subsequently through the Canadian Graduation Questionnaire from 2006 to 2008. The overall response rate was 61%. Perceived benefits and efficacy of the MUN MedCAREERS Web site and several career-counseling resources were determined along with participation rates encompassing a 6-year period. RESULTS: Most career-counseling resources were perceived as helpful, regardless of participation rate. CONCLUSIONS: Our goal was to provide information on an array of career-counseling resources so that Canadian medical schools can avail of appropriate resources and select activities to help students make informed decisions about their specialty choice. Planners of career-counseling activities may wish to consider elements that students find most helpful.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".