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Record W2903854986 · doi:10.1542/peds.2018-3109

Half As Sad: A Plea for Narrative Medicine in Pediatric Residency Training

2018· review· en· W2903854986 on OpenAlexaffabout
Caroline Diorio, Małgorzata J.M. Nowaczyk

Bibliographic record

VenuePEDIATRICS · 2018
Typereview
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsMcMaster Children's Hospital
Fundersnot available
KeywordsMedicinePleaResidency trainingMedical educationNarrativeFamily medicineLinguisticsLaw

Abstract

fetched live from OpenAlex

During my third year of general pediatrics residency training, a patient well known to me and my fellow residents died unexpectedly. The child was an extremely bright and mature 8-year-old who had spent much of the last year of her life in our hospital being treated for cancer. Seemingly overnight, she became “too” sick (ICU sick, intubated and ventilated, on dialysis sick). She began to have intractable seizures, and with her family by her side, she died. The next morning, a colleague in his first year of residency asked how I was. I said that it had been a difficult week and I felt profoundly sad about the death of our patient. A look of relief came over his face. He told me that he was feeling despair. This was the first child he had cared for that had died. He had never felt such sadness before and felt guilty for feeling sad. He said that in medical school he had been told by a senior physician that it was the professional responsibility of a physician to “never feel more than 50% as sad as a patient’s family.” Faced with the reality of the death of a child, my colleague was left feeling confused, distressed, and disenfranchised from his own emotional response. “You put on the waterworks and it makes the parents feel better,” my genetics attending said. She seemed proud to have arrived at this simple remedy. She had just finished counseling a couple whose child had been diagnosed with a lethal genetic condition. Were the tears an act simulating empathy for … Address correspondence to Malgorzata Nowaczyk, MD, FRCPC, FCCMG, FACMG, Department of Pediatrics, McMaster Children’s Hospital, 1200 Main St W, Hamilton, ON L8N 3Z5, Canada. E-mail: nowaczyk{at}hhsc.ca

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)0.002
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.131
GPT teacher head0.436
Teacher spread0.304 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations24
Published2018
Admission routes2
Has abstractyes

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