Gender Differences in the Pediatric Neurosurgical Workforce: Professional Practice, Work-Life Balance, and Beyond
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Evidence suggests that female neurosurgeons experience unique challenges in the workplace including lack of academic advancement, challenges with work-life balance, harassment, and discrimination. How these factors influence the gender gap in neurosurgery remains unclear. This analysis investigated gender differences in pediatric neurosurgeons in professional and nonprofessional activities and responsibilities. METHODS: A survey examining professional activities, work-life balance, family dynamics, career satisfaction, and workplace discrimination and harassment was administered to 495 pediatric neurosurgeons. Response rate was 49% (n = 241). RESULTS: One-third of the pediatric neurosurgical workforce is female. There were no gender differences in race/ethnicity, American Board of Neurological Surgery/American Board of Pediatric Neurological Surgery certification rates, or pediatric neurosurgery fellowship completion. No gender differences were found in operative caseload, weekly hours worked, or working after 8 pm or weekends. Women took call more frequently than men ( P = .044). Men were more likely to work in academia ( P = .004) and have salary subsidization from external sources ( P = .026). Women were more likely to anticipate retirement by age 65 years ( P = .044), were less happy with call commitments ( P = .012), and worked more hours at home while off ( P = .050). Women more frequently reported witnessing and experiencing racial discrimination ( P = .008; P < .001), sexual harassment ( P = .002, P < .001), and feeling less safe at work ( P < .001). Men were more likely married ( P = .042) with 1 ( P = .004) or more children ( P = .034). Women reported significantly greater responsibility for child and domestic care ( P < .001). There were no gender differences in work-life balance, feeling supported at work, or having enough time to do things outside of work. CONCLUSION: Despite little difference in workload and professional responsibilities, women held more domestic responsibilities and experienced and witnessed more racial and sexual discrimination in the workplace. Surprisingly, there were no reported differences in work-life balance or feeling supported at work between genders. These findings suggest that factors unique to female neurosurgeons may contribute to continued gender disparity in the field.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".