Gender differences in emergency medicine standardized letters of evaluation
Bibliographic record
Abstract
Abstract Objectives The Standardized Letter of Evaluation (SLOE) is a vital portion of any medical student’s emergency medicine (EM) residency application. Prior literature suggests gender bias in EM SLOE comparative ranking, but there is limited understanding of the impact of gender on other SLOE components. The study objective was to evaluate the presence of gender differences in the 7 Qualifications for EM (7QEM), Global Assessment (GA), and anticipated Rank List (RL) position. A secondary objective was to evaluate the gender differences in 7QEM scores and their link to GA and anticipated RL position. Methods We performed a cross‐sectional study using SLOEs from a subset of United States applicants to three EM residency programs during the 2019–2020 application cycle. We collected self‐reported demographics, 7QEM scores, GA, and anticipated RL position. We utilized linear regression analyses and repeated measures ANOVA to evaluate if the relationship between the 7QEM scores, GA score, and anticipated RL position was different for men and women. Results 2103 unique applicants were included (38.6% women, 61.4% men), with 4952 SLOEs meeting inclusion criteria. The average QEM (2.51 vs. 2.39; p < 0.001), GA (2.68 vs. 2.48; p < 0.001), and RL (2.68 vs. 2.47; p < 0.001) scores were statistically higher for women than men. When exploring the relationship between the 7QEM and GA, Ability to communicate a caring nature to patients was not found to be a statistically significant predictor for men, but it was for women. When exploring the relationship between 7QEM and RL, Commitment to EM was not a significant predictor for men, but it was for women. Conclusions Women scored higher than men on the 7QEM, GA, and anticipated RL position on SLOEs. The 7QEM scores factored differently for men and women.
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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 | 0.000 |
| 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) | 0.004 | 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".