Training family medicine residents to care for children
Bibliographic record
Abstract
Problem addressed There is a lack of consensus around the optimal way to train family medicine residents to care for children. Objective of program Evaluation of an ambulatory versus an inpatient pediatrics rotation for family medicine residents. Program description A 4-week pediatrics rotation for second-year family medicine residents was introduced involving half-day ambulatory pediatric clinics. A nonequivalent control group evaluation study design was followed. Patient logbook entries, as well as residents’ satisfaction, knowledge, and self-reported confidence outcomes were compared between family medicine residents completing the new ambulatory rotation and those completing a traditional inpatient-ambulatory pediatrics rotation. Conclusion An ambulatory rotation in pediatrics is a feasible option for facilitating family medicine resident learning in child health care. Residents report exposure to more patient cases that reflect a family practice office setting and the same level of knowledge and confidence as residents completing an inpatient-ambulatory rotation. Intraprofessional collaboration, flexibility in scheduling, and the support of pediatric preceptors are key factors in the organization and implementation of an ambulatory rotation.
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".