Bibliographic record
Abstract
PROBLEM ADDRESSED: Residents in family medicine residency programs require comprehensive training in women's health best practices and resources. OBJECTIVE OF PROGRAM: To provide a framework for the development and implementation of an integrated women's health curriculum for family medicine residency programs. PROGRAM DESCRIPTION: Objectives for each element of the program were the basis for planning the curriculum. Residents experienced primary care obstetrics clinic and on-call shifts, 24-hour off-service on-call shifts, women's health horizontals, and a women's health workshop, all of which were integrated into a 6-month family medicine block time. Residents worked with family physicians, obstetricians and gynecologists, and multidisciplinary health care team members in clinical settings. Teaching objectives were aligned with CanMEDS-Family Medicine core competencies. Creation of this program and its implementation were accomplished by dedicated teachers, administrators, and faculty members involved in curriculum planning. CONCLUSION: The program design and implementation resulted in an improved comprehensive women's health training experience for residents, which was integrated into a family medicine context. Ongoing evaluation and innovation will serve to continually improve this program.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.125 | 0.008 |
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".