Conversations With Parents of Medically Ill Children: A Study of Interactions Between Medical Students and Parents and Pediatric Residents and Parents in the Clinical Setting
Bibliographic record
Abstract
BACKGROUND: The traditional remedies applied by medical schools to the perennial problem of teaching "caring competence" have been unsuccessful. PURPOSE: Our purpose was to design and evaluate a simple and effective method for helping students maintain affective contact with their patients. METHODS: Third-year medical students and pediatric residents were given the opportunity to talk informally with parents of medically ill children and reflect on the value of this experience for their learning. Trainees' opinions of the experience were measured with focus groups and a questionnaire. RESULTS: Trainees were delighted with the experience, particularly with the following aspects: the opportunity to hear a personally relevant story told in a sincere manner, the realization that they could have an authentic interaction "even" in a medical setting, and the usefulness of the information they derived from the conversation. CONCLUSIONS: We concluded that something unique to the conversational experience has educational value.
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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 | 0.007 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".