Resident training and the dictated operative report: a national perspective.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".