30. Survey Investigation of The Career Trajectories of Craniofacial-Trained Plastic Surgeons
Bibliographic record
Abstract
PURPOSE: Current literature documents a waning interest and pursuit of craniofacial surgery. This survey-based study examines CF-trained surgeons’ motives, practice patterns, and obstacles faced. METHODS: A RedCap survey consisting of 14 questions with some free-text response opportunities was sent to 310 prior CF fellow graduates within the U.S. and Canada from 2010-2021. Responses were collected until end of May, 2024. RESULTS: The response rate was 34.5% (107/310). The majority were white males ages 41-50 years. Initially 81.3% of respondents desired CF practice, and 78.5% obtained a CF job after fellowship. At the time of the survey, 71.0% endorsed having a CF practice. The distribution of job changes is demonstrated in Figure 1. Figure 2 lists negative factors associated with initial jobs identified by respondents. Most frequent cases performed among fellows were pediatric craniosynostosis (91.6%) and cleft surgery (90.7%), decreasing to 55.1% and 64.5%, respectively at the time of survey. Facial aesthetics and facial feminization surgeries increased in frequency at time of survey compared to during fellowship. CONCLUSION: Recent success in achieving a CF career is much higher than previously reported, and those with a CF practice are less likely to change careers than those in a non-CF practice after fellowship.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".