Trends in Leadership Within Orthopedic Foot and Ankle Fellowships
Bibliographic record
Abstract
BACKGROUND: No study in the orthopedic literature has analyzed the demographic characteristics or surgical training of foot and ankle fellowship directors (FDs). Our group sought to illustrate demographic trends among foot and ankle fellowship leaders. METHODS: The American Orthopaedic Foot & Ankle Society (AOFAS) Fellowship Directory for the 2021 to 2022 program year was queried in order to identify all foot and ankle fellowship leaders at programs currently offering positions in the United States and Canada. Data points gathered included age, sex, race/ethnicity, location of surgical training, time since training completion until FD appointment, length in FD role, and individual research H-index. RESULTS: We identified 68 fellowship leaders, which consisted of 48 FDs and 19 co-FDs. Sixty-five individuals (95.6%) were male, and 3 (4.4%) were female. As regards race/ethnicity, 88.2% of the leadership was Caucasian (n = 60), 7.4% was Asian American (n = 5), 1.5% was Hispanic/Latino (n = 1), and 1.5% was African American (n = 1). The average age was 51.5 years, and the calculated mean Scopus H-index was 15.28. The mean duration from fellowship training to fellowship leader position was 11.23 years. CONCLUSION: Leaders within foot and ankle orthopedic surgery are characterized by research prowess and experience, but demographic diversity is lacking. LEVEL OF EVIDENCE: Level III.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".