Gender Effects in Assessment of Clinical Teaching: Does Concordance Matter?
Bibliographic record
Abstract
ABSTRACT Background Gender bias is thought to exist in the assessment of clinical teachers, yet its extent in different specialties is not well-documented nor has it been studied at the individual-dyadic level. Objective The authors sought to determine whether gender bias exists in residents' assessments of faculty teaching in 3 clinical departments, and if present, whether this is influenced by gender concordance or discordance between the faculty and resident. Methods Residents' ratings of faculty in internal medicine (800 faculty, 5753 ratings), surgery (377, 2249), and family medicine (672, 3438) at the University of Toronto from 2016–2017 were analyzed using the overall global rating on a 5-point scale. A mixed-effects linear regression analysis accounted for nesting of ratings within each faculty member. Results Overall scores of teaching effectiveness showed a strong skew to favorable ratings for all faculty and a ceiling effect. However, gender effects differed across departments. In internal medicine (38.5% female faculty), no significant gender effects were detected. In surgery (16.2% female) and family medicine (53.0% female), male faculty received significantly higher scores than female faculty. In surgery this was driven by male residents giving male faculty higher ratings (4.46 vs 4.26, P < .001). In family medicine this was driven by male faculty receiving higher ratings regardless of resident gender (4.65 to 4.57, P < .001). Conclusions Although effects were very small and inconsistent, with gender concordance mattering only for one department, it suggests that gender is a meaningful source of variance in teaching assessments.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| 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".