Impostor Phenomenon and Impact on Women Surgeons: A Canadian Cross-Sectional Survey
Bibliographic record
Abstract
BACKGROUND: This project aims to characterize the extent and nature of impostor phenomenon (IP) among women surgeons in Canada. IP is well documented among medical professionals and trainees. It is known to have significant impacts on mental health and career trajectory. STUDY DESIGN: We conducted a cross-sectional survey of self-identifying women who have completed a surgical residency and currently or most recently practiced in Canada. RESULTS: Among 387 respondents, 98.7% have experienced IP. Median IP score corresponded to frequent impostor feelings or high impostorism. Self-doubt affects most women surgeons for the first time during training. It tends to be most intense in the first 5 years of practice and lessens over time. One hundred twelve (31.5%) surgeons experience self-doubt in the operating room (OR). Due to self-doubt, 110 (28.4%) respondents preferred to work with a more experienced assistant in the OR, whereas 40 (10.4%) stated that they would only operate with an experienced assistant. Few surgeons take on less OR time due to self-doubt (29 [7.5%]), but 60 (16.5%) take on fewer complex cases due to self-doubt. A small but important number of surgeons (11 [2.8%]) had given up operating altogether due to self-doubt. Due to feelings of self-doubt, 107 (21.4%) respondents were hesitant to take on a leadership role in the workplace. CONCLUSIONS: IP is a nearly universal experience among women surgeons and is influential in their professional lives. This study contributes to scientific knowledge that can advance gender equity in medicine and leadership.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".