Influence of Factors Relating to Sex and Gender on Rank List Decisions and Perceptions of Residency Training: Survey Study
Bibliographic record
Abstract
BACKGROUND: Females make up more than half of medical school matriculants but only one-third of emergency medicine (EM) residents. Various factors may contribute to why fewer females choose the field of EM, such as the existing presence of females in the specialty. OBJECTIVE: This study is a follow-up to previous work, and a survey is used to assess current residents' attitudes and perceptions on various factors, including those relating to sex and gender on creating rank lists as medical students and in perceived effects on residency education. METHODS: A web-based survey consisting of Likert scale questions regarding a variety of factors influencing a student's decision to create a rank list and in perceived effects on residency education was sent to current EM residents in 2020. RESULTS: Residents from 17 programs participated in the survey with an 18.2% (138/758) response rate. The most important factors in creating a rank list were the personality of residents in the program, location, and facility type. For factors specifically related to gender, respondents who answered affirmatively to whether the gender composition of residents affected the selection of a program in making a rank list were more likely to also answer affirmatively to subsequent questions related to the gender of program leadership (P<.001) and gender composition of attending physicians (P<.001). The personality of residents was also the most important factor perceived to affect residency education. For factors influencing rank list and residency education, female respondents placed higher importance on subcategories related to gender (ie, gender composition of the residents, of the program leadership, and of the attending physicians) to a significant degree compared with their male counterparts. CONCLUSIONS: Although factors such as location and resident personality show the most importance in influencing residency selection, when stratifying based on respondent sex, females tend to indicate that factors relating to gender have more influence on rank list and residency education compared with males.
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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 | 0.003 | 0.006 |
| 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".