The Attainment of Obstetrical Competency in Postgraduate Family Medicine Training: A Qualitative Study
Bibliographic record
Abstract
Aims: This study explored the Family Medicine resident experience in working towards their obstetrical competencies from the perspectives of residents and educators.\nMethods: Using a qualitative descriptive design, semi-structured interviews were conducted with second-year Family Medicine residents and obstetrical supervisors from one Family Medicine program in Ontario, as well as key informants of Canadian Family Medicine maternity education. Interviews were audio-taped and professionally transcribed. Transcripts were coded and interpreted for common themes.\nFindings: There was a disconnect between the intent of the College of Family Physicians of Canada Key Features document, and how it is applied at the ground level. Residents are graduating competent but are not confident in their skills. This is influenced by factors at micro, meso, and macro levels. Resident career decisions are most influenced by fulcrum points pre-residency.\nConclusions: This study offers insight to potential areas of intervention to improve the training experience in maternity care.
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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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".