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Record W1968446249 · doi:10.1097/acm.0b013e318183c8b7

Point-of-Care Assessment of Medical Trainee Competence for Independent Clinical Work

2008· article· en· W1968446249 on OpenAlex
Tara J T Kennedy, Glenn Regehr, G. Ross Baker, Lorelei Lingard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAcademic Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsStan Cassidy Foundation
FundersCanadian Institutes of Health Research
KeywordsCompetence (human resources)Medical educationPsychologyWork (physics)MedicineNursingSocial psychologyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical supervisors make frequent assessments of medical trainees' competence so they can provide appropriate opportunities for trainees to experience clinical independence. This study explored context-specific assessments of trainees' competence for independent clinical work. METHOD: In Phase One, 88 teaching team members from internal and emergency medicine were observed during clinical activities (216 hours), and 65 participants completed brief interviews. In Phase Two, 36 in-depth interviews were conducted using video vignettes. Data collection and analysis employed grounded theory methodology. RESULTS: Supervisors' assessments of trainee trustworthiness for independent clinical work involved consideration of four dimensions: knowledge/skill, discernment of limitations, truthfulness, and conscientiousness. Supervisors' reliance on language cues as a source of trustworthiness data was revealed. CONCLUSIONS: This study provides an initial exploration of context-specific competence assessments, which affect both patient safety and education, and provides a novel framework for study of the links between language use and competence.

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.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.104
GPT teacher head0.491
Teacher spread0.387 · 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