The effect of white coats and gender on medical students’ perceptions of physicians
Bibliographic record
Abstract
BACKGROUND: Despite the fact that medical schools spend a considerable effort to rate clinical instructors, there is limited evidence regarding the effect of physical characteristics on instructor ratings. White coats have been shown to alter patients' perceptions of physicians although it has not been determined if preceptors who wear white coats are rated differently than their colleagues. METHODS: Second year medical students were administered a questionnaire with four clinical scenarios depicting medical errors accompanied by a picture of a physician of different sexes and ethnicities. The packages were randomized so that the physicians depicted either had or did not have a white coat. RESULTS: White coats did not alter the perception of physicians' ratings by medical students although sex and ethnicity/case were associated with the perception of trustworthiness, physician management, competence, professionalism and the perception of medical error. CONCLUSIONS: Physical characteristics may alter students' ratings of physicians.
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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 | 0.002 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".