Orthopaedic Surgery Residency Match After an Early-Exposure Research Program for Medical Students
Bibliographic record
Abstract
INTRODUCTION: The purpose of this study was to determine the proportion of students matching in orthopaedic surgery after a structured, early-exposure mentored research program and what factors were associated with those students compared with participants who matched in other specialties. METHODS: Program data were reviewed from 2007 to 2015. Multivariable binary logistic regression analysis was used to evaluate student and research factors associated with orthopaedic surgery match. RESULTS: Of 174 students, 117 (67%) matched into surgical residency programs, with 49% (n = 85) matching into orthopaedic surgery. The percentage of women matching into orthopaedic surgery (37%) was less than that of men (53%), which, however, increased over the study period. Students who matched in orthopaedic surgery had greater numbers of publications (3.55 [range 0 to 17] average publications) compared with students who matched in other specialties (1.98 (range 0 to 11) average publications). The average number of publications per student increased from 0.79 (±1.44, range 0 to 10, 40%) preprogram to 1.95 (±2.28, range 0 to 11, 71%) postprogram. Measured factors associated with orthopaedic surgery match were publications with program mentor, postprogram first authorship, and total publications. DISCUSSION: Approximately half of the participants matched into orthopaedic surgery. Analysis showed that research productivity increased after program participation and was statistically associated with increased likelihood of orthopaedic surgery match.
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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 | 0.053 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".