Innovative Holistic Teaching in a Canadian Neonatal Perinatal Residency Program
Bibliographic record
Abstract
Abstract Ethically complex and challenging cases confront health care professionals in neonatal‐perinatal medicine more often than in most other subspecialties in medicine. Neonatologists regularly encounter situations where crucial life‐or‐death decisions need to be made in the best interest of an infant and its family. While physicians and their professional societies seem to dictate this best interest standard by weighing the risk of mortality and morbidities, parents may have other perspectives to be considered . Our review of programs for teaching ethics in Canadian neonatal‐perinatal residency programs has revealed that 90 percent of them incorporated formal and informal medical ethics education, meeting the Royal College of Physician and Surgeons of Canada requirements, but that the teaching strategies, topics covered, and time devoted to teaching ethics are not standardized. Lectures and case presentations—the pedagogic strategy used by most programs—are not ideal for teaching communication skills. We propose, therefore, a holistic approach to teaching and training that imparts (1) a traditional understanding of ethical theory and reasoning, (2) advanced skills in communication and counseling, and (3) a disposition to engage in self‐reflection and to be aware of the emotional and spiritual dimensions of neonatal‐perinatal medicine .
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".