Residency research requirements and the CanMEDS-FM scholar role
Bibliographic record
Abstract
Objective To explore the perspectives of family medicine residents and recent family medicine graduates on the research requirements and other CanMEDS scholar competencies in family practice residency training. Design Semistructured focus groups and individual interviews. Setting Family practice residency program at the University of British Columbia in Vancouver. Participants Convenience sample of 6 second-year family medicine residents and 6 family physicians who had graduated from the University of British Columbia family practice residency program within the previous 5 years. Methods Two focus groups with residents and individual interviews with each of the 6 recently graduated physicians. All interviews were audiotaped, transcribed, and analyzed for thematic content. Main findings Three themes emerged that captured key issues around research requirements in family practice training: 1) relating the scholar role to family practice, 2) realizing that scholarship is more than simply the creation or discovery of new knowledge, and 3) addressing barriers to integrating research into a clinical career. Conclusion Creation of new medical knowledge is just one aspect of the CanMEDS scholar role, and more attention should be paid to the other competencies, including teaching, enhancing professional activities through ongoing learning, critical appraisal of information, and learning how to better contribute to the dissemination, application, and translation of knowledge. Research is valued as important, but opinions still vary as to whether a formal research study should be required in residency. Completion of residency research projects is viewed as somewhat rewarding, but with an equivocal effect on future research intentions.
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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 | 0.116 | 0.179 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".