The Clerkship Pediatric Rotation: Does Setting Matter?
Bibliographic record
Abstract
ABSTRACT Background: Medical student rotations in community practice settings are increasingly common within pediatric clerkship curricula yet little evidence exists to support the quality of the educational exposure. Purpose: To assess the impact of clerkship site (community setting vs. exposure to an Academic Health Sciences Center) on the following educational outcomes: 1. Clinical Performance; 2. Examination Performance; 3. Written Assignment Performance; and 4. Successful Matching to a Canadian Pediatric Residency Program. Methods: 340 medical students from the graduating classes of 2007 and 2008 at the University of Toronto, Canada were studied. Rotation performance (clinical assessment, examination mark, and written assignment mark) and acceptance into a Canadian pediatric residency program were assessed in relation to clerkship rotation site. These outcomes were assessed while controlling for the following potential confounders: 1) Pre-clerkship career preference and 2) Pre-rotation site preference as expressed by each medical student. Results: 172 medical students completed rotations that included exposure to an academic health sciences center, while 168 medical students had exclusive exposure to the community setting. Students who completed exclusively community-based pediatric rotations received slightly higher clinical evaluations (p=0.006), but not exam marks (p=0.812) nor written assignment marks (p=0.086). Students who had expressed an interest in paediatrics as a career prior to beginning their clerkship performed better during paediatric clerkship regardless of site (p= .0003) and were more likely to choose a clerkship setting that included exposure to an Academic Health Sciences Center (p=.052). Clerkship setting was not found to impact on successful matching to a Canadian pediatric residency program (p=0.171). Discussion: These results help support the decision of curriculum committees to incorporate the use of community practice settings and inform students and faculty as to the validity of distributed medical education within the field of pediatric medical education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".