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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.075 | 0.015 |
| 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 | 0.000 | 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; both teacher heads agree on what is shown here.
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".