Performance of clinical clerks doing paediatric rotations in a community hospital versus a university hospital
Bibliographic record
Abstract
INTRODUCTION: Most clinical clerks (third-year medical students) do their paediatric rotation at the IWK Health Centre, the Dalhousie University-affiliated tertiary care paediatric institution in Halifax, Nova Scotia. Due to limited space, some clerks are sent to community hospitals in the provinces of New Brunswick and Prince Edward Island. These community hospitals are different in terms of the academic environment and the availability of paediatric subspecialty services. OBJECTIVE: To compare performance of clinical clerks doing paediatric rotations in community hospitals (group I) with those in a university hospital (group II). METHODS: The end-of-rotation test scores on the 45 single correct answer multiple choice questions and the three 15 min objective structured clinical examinations in group I (n=54) and group II (n=124) for two consecutive academic years were studied. The end-of-rotation comments by the clerks in group I were examined to assess the quality of their experience. RESULTS: For the two academic years, the cumulative mean +/- SD scores for multiple choice questions and objective structured clinical examinations were 82.82+/-7.47 and 70.82+/-11.37, respectively, in group I compared with 83.03+/-7.74 and 69.02+/-11.23 in group II. There were no significant differences in the results between the two groups. No difference in results was seen when the scores were analyzed separately for each of the academic years. The clerks in group I rated their experience as positive. CONCLUSIONS: Clerks doing paediatric rotations in community hospitals perform as well and receive similar educational benefits as those at university hospitals. Community hospitals can provide a quality experience for paediatric clerkship training.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".