International and Geographic Trends in Gender Authorship within Plastic Surgery
Bibliographic record
Abstract
BACKGROUND: Professional advancement in academic plastic surgery may depend on scholarly activity. The authors evaluate gender-based publishing characteristics in three international plastic surgery journals. METHODS: A retrospective review of all articles published in 2016 in the following journals was undertaken: Plastic and Reconstructive Surgery, Journal of Plastic, Reconstructive and Aesthetic Surgery, European Journal of Plastic Surgery, Annals of Surgery, and New England Journal of Medicine. Data were collected on lead author gender (first or senior author) and differences in author gender proportions, by journal, by article topic, and by geographic location were evaluated. RESULTS: Overall, 2610 articles were retrieved: 34.1 percent were from plastic surgery journals, 12.8 percent were from the Annals of Surgery, and 53.1 percent were from the New England Journal of Medicine. There was a lower proportion of female lead authors among plastic surgery journals compared with the Annals of Surgery and the New England Journal of Medicine (31 percent versus 39 percent versus 39 percent; p = 0.001). There were no differences in female lead author geographic location in the Annals of Surgery or the New England Journal of Medicine; within the plastic surgery journals, there were differences (p = 0.005), including a lower proportion arising from East Asia (15 percent) and a higher proportion arising from Canada (48 percent). Within plastic surgery, Plastic and Reconstructive Surgery had the lowest proportion of female lead author (p < 0.001). The proportion of female lead author varied by article topic (p < 0.001) and was notably higher in breast (45.6 percent) and lower in head and neck/craniofacial-orientated articles (25.0 percent). CONCLUSIONS: There are gender disparities in three mainstream plastic surgery journals-Plastic and Reconstructive Surgery, the Journal of Plastic, Reconstructive and Aesthetic Surgery, the European Journal of Plastic Surgery-and there are lower proportions of lead female authorship compared with the Annals of Surgery and the New England Journal of Medicine. Further research should focus on understanding any geographic disparities that may exist.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".