MétaCan
Menu
Back to cohort
Record W1977220538 · doi:10.1207/s15328015tlm1302_5

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

2001· article· en· W1977220538 on OpenAlexaff
Richard G. Tiberius, H. David Sackin, Susan Tallett, Sheila Jacobson, J. Turner

Bibliographic record

VenueTeaching and Learning in Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsThe Wilson CentreUniversity of Toronto
Fundersnot available
KeywordsConversationCompetence (human resources)PsychologyMedical educationValue (mathematics)MedicineNursingFamily medicineSocial psychology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.379
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueTeaching and Learning in MedicineSame topicInfant Development and Preterm CareFrench-language works237,207