Classroom-Based Learning in an Academic Obstetrics and Gynecology Residency Training Program
Bibliographic record
Abstract
Objectives: Classroom-based learning such as academic half days (AHDs) are complementary to workplace learning in postgraduate medical education. This study examined three research questions: the purpose of AHDs, elements of an effective AHD, and factors that make AHD sustainable. Methods: = 7) and the program administrator was interviewed in 2018. The themes in each research question were identified by modified inductive analysis. Results: Residents expressed that the purposes of AHD included: providing organization and an overview for their knowledge acquisition; preparation for their Royal College specialty exam; and to provide a venue for peer support and mentorship. Elements of an effective AHD include the repetition of key concepts; formative assessments such as quizzes, a suitable balance of faculty input and resident active participation, and protection from clinical duty during AHD. Regarding the sustainability of AHD, themes included: addressing barriers to faculty participation, providing administrative support for logistical needs, and providing feedback to faculty. Conclusions: This work provides important insights into the purpose, effectiveness, and sustainability of AHDs for those who design and implement classroom learning for residents.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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; a candidate call from one teacher head, 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".