The Academic Half-Day redesigned: Improving generalism, promoting CanMEDS and developing self-directed learners
Bibliographic record
Abstract
BACKGROUND: The Montreal Children's Hospital Pediatric Residency Program redesigned its Academic Half-Day based on program concerns consistent with the published literature. These concerns included inadequate preparation for general paediatric practice, gaps in CanMEDS education and exclusive use of didactic lectures. Novel instructional methods included monthly simulation sessions to learn CanMEDS competencies, increased use of general paediatricians as instructors, implementation of a 'systems-based' curriculum and development of self-directed learning skills through activities such as 'Residents as Teachers'. METHOD: A postimplementation online survey was sent to all 18 residents who had been exposed to both curricula. The survey was designed to determine the impact of the new curriculum on their perceived ability to retain information and acquire the competencies of a general paediatrician, and to assess the effect on their self-directed learning. Responses were recorded on a five-point Likert scale ranging from 'strongly disagree' to 'strongly agree'. RESULTS: Fourteen of 18 (78%) residents completed the survey. All residents preferred the 'systems-based' educational program. Seventy-nine percent of all residents agreed that the simulation sessions were an effective method of learning the CanMEDS competencies. Importantly, 64% of residents voluntarily read more about the topics presented and 71% agreed that they retained the content better. Moreover, 79% believed that changes made to the teaching curriculum better prepared them for a general paediatric practice and 64% of residents believed that it better 'supplements' learning in the clinical setting. CONCLUSION: The authors propose that the new curriculum is comprehensive, while developing the skills required for life-long learning as a general paediatrician.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".