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Record W2083344062 · doi:10.1097/acm.0b013e31817ec788

Teaching and Learning Moments

2008· article· en· W2083344062 on OpenAlexfundno aff
Randy Rockney

Bibliographic record

VenueAcademic Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
FundersMcGill University Health CentreFaculty of Medicine, McGill UniversityMax Bell Foundation
KeywordsInternshipMedicinePsychologyTeachable momentCLIPSMedical educationSurgeryPsychoanalysis

Abstract

fetched live from OpenAlex

It’s normal for a shortstop to get the jitters on opening day playing in front of teammates, onlookers, and the opposition. Despite his (or her) practiced skills, the first ball hit in his direction might take a bad hop or he might simply muff it. After he boots that first ball, he can relax and just do what he is supposed to do. The first patient on the first day of my pediatric internship, a nine-year-old boy with panhypopituitarism, had been sent to the emergency room by his endocrinologist to obtain blood work. My senior resident asked if I wanted to draw the blood myself. I felt nervous, but I had drawn blood before in medical school, and I said I would do it. I assembled the gear—alcohol swabs, gauze to staunch the bleeding, a band-aid, a butterfly needle, tubes with the appropriate color tops, and a 12-mL syringe. We needed a lot of blood for the esoteric assays that had been requested. The boy’s mother and grandmother stood by, attentive and protective. Both large women, they put me in mind of opposite-gendered lineman for the 49ers; they couldn’t have been more intimidating. It was clear that they would brook no nonsense from anyone, certainly not a lowly pediatric intern on his first day of internship. I applied the tourniquet, found the vein in the antecubital fossa, and stuck in the needle. To my relief, and, no doubt, to the relief of all assembled, a snake of blood inched up the tubing to the syringe. I pulled the plunger ever so gingerly and watched as the big 12-mL syringe filled with blood, all the blood necessary to fill the different tubes. And then something happened. Anxiety? Distraction? I don’t know. Before my senior resident, the nine-year-old boy, and his mother and grandmother, I pulled the plunger out of the top of the syringe, spilling all the blood—all two and a half teaspoons—onto the floor. The mother and grandmother looked at me, jaws agape, with a “You moron!” sort of expression on both of their faces. My senior resident just covered his eyes with his hand as he shook his head. I don’t remember the details of what happened after that, but I do know that the patient survived, I survived, and the blood got drawn, though not by me. Eventually, with lots of practice, I became quite comfortable and adept with blood drawing and other invasive procedures in children, a lasting source of pride and feelings of accomplishment. Now, a quarter century later, I tell that story to brand new pediatric interns anxious lest they should make a mistake. I booted my first ball, I tell them, and everything was okay after that. Randy Rockney, MD Dr. Rockney is director of undergraduate medical education in pediatrics, Department of Pediatrics, The Warren Alpert School of Medicine of Brown University, Providence, Rhode Island.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.280
Threshold uncertainty score0.937

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0120.006
Open science0.0020.015
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.2800.181

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 head0.037
GPT teacher head0.370
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2008
Admission routes1
Has abstractyes

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