How Do Thresholds of Principle and Preference Influence Surgeon Assessments of Learner Performance?
Bibliographic record
Abstract
OBJECTIVE: The present study asks whether intraoperative principles are shared among faculty in a single residency program and explores how surgeons' individual thresholds between principles and preferences might influence assessment. BACKGROUND: Surgical education continues to face significant challenges in the implementation of intraoperative assessment. Competency-based medical education assumes the possibility of a shared standard of competence, but intersurgeon variation is prevalent and, at times, valued in surgical education. Such procedural variation may pose problems for assessment. METHODS: An entire surgical division (n = 11) was recruited to participate in video-guided interviews. Each surgeon assessed intraoperative performance in 8 video clips from a single laparoscopic radical left nephrectomy performed by a senior learner (>PGY5). Interviews were audio recorded, transcribed, and analyzed using the constant comparative method of grounded theory. RESULTS: Surgeons' responses revealed 5 shared generic principles: choosing the right plane, knowing what comes next, recognizing normal and abnormal, making safe progress, and handling tools and tissues appropriately. The surgeons, however, disagreed both on whether a particular performance upheld a principle and on how the performance could improve. This variation subsequently shaped their reported assessment of the learner's performance. CONCLUSIONS: The findings of the present study provide the first empirical evidence to suggest that surgeons' attitudes toward their own procedural variations may be an important influence on the subjectivity of intraoperative assessment in surgical education. Assessment based on intraoperative entrustment may harness such subjectivity for the purpose of implementing competency-based surgical education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".