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Record W8008890

Resident training and the dictated operative report: a national perspective.

2010· article· en· W8008890 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDictationMedicineMedical educationActive listeningCurriculumVignetteQuality (philosophy)Reading (process)MEDLINE
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Using a nationwide survey, we aimed to determine the current status of operative dictation training in Canada. METHODS: Residents and program directors in general surgery programs in Canada participated in this survey. RESULTS: In all, 274 residents and 11 program directors responded to the survey (70% and 79% response rates, respectively). Among residents, 73% reported that their dictations were in need of improvement, and 56% reported never receiving feedback about their dictations. Most residents (80%) stated that they learned to dictate by reading old operative dictations, 75% reported that their program did not use any formal methods to help improve dictations, and 70% requested further training in dictation. In all, 91% of program directors felt that residency programs should include formal training in dictation but half could not identify any formal methods currently used in their programs. CONCLUSION: There appears to be a marked deficiency in resident training in operative dictation nationwide.

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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.308
Teacher spread0.277 · 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