The standardized letter of evaluation (SLOE) in emergency medicine: The internal validity of the SLOE 2.0
Bibliographic record
Abstract
Background: The standardized letter of evaluation (SLOE) is a crucial component of emergency medicine (EM) residency applications. Initially developed in 1995 and revised to electronic SLOE (eSLOE) 2.0, this tool aims to provide a standardized evaluation of medical students. Objective: This study aimed to conduct internal validation by analyzing the distribution and correlation of scores in eSLOE 2.0 and identify any ranking skew. Methods: A multi-institutional cross-sectional study conducted using eSLOE 2.0 data from applicants to five geographically diverse U.S. EM residency programs during the 2022-2023 application cycle. Data from 2891 eSLOE 2.0 s across 1633 applicants were analyzed using descriptive statistics, chi-square, and Spearman's rho. Results: Scores for all questions were moderately left-skewed. The mean scores for all part B questions were above 4.0. Strong correlations were found between part A and B scores with anticipated guidance (AG) and rank list (RL) positions. The AG had a higher correlation with RL positions than grades. The mean RL score indicated that the average student fell between the middle and top thirds. Conclusions: The study demonstrates left skew in eSLOE 2.0 scoring, including a higher prevalence of scores in the fully and mostly entrustable ranges for part A and the consistently high scores in part B.
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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 | 0.005 | 0.001 |
| 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".