Descriptive Analysis of Vitreoretinal Surgery Fellowship Program Directors
Bibliographic record
Abstract
Purpose: To evaluate the demographic, educational, and scholarly characteristics of Association of University Professors of Ophthalmology–accredited vitreoretinal surgery fellowship program directors in the United States and Canada. Methods: Demographic, educational, and scholarly profiles of identified program directors were collated from online public resources. Characteristics were compared by sex, program size, ranking, and affiliation. Results: Eighty-one program directors (mean age [±SD] 54.7 ± 11.0 years) from 78 fellowship programs were identified. The minority were women (14.8%), who were on average 6 years younger than their male counterparts ( P = .07). The majority of program directors had an academic affiliation (90.1%), most commonly professor (54.8%). The mean h-index, 5-year h-index, and m-quotient were 20.9 ± 14.9, 5.9 ± 4.4, and 0.82 ± 0.42, respectively. Compared with their counterparts, program directors of both “top 10” and large programs published more manuscripts ( P < .05), accrued more citations ( P < .05), and had a higher h-index ( P < .05). Fellowship programs with female program directors had a significantly larger proportion of female retina faculty ( P = .002). Conclusions: The backgrounds of vitreoretinal surgery program directors are diverse. However, women remain underrepresented in this position, highlighting an area with the potential for greater equity in ophthalmology.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".