Academic Productivity in Hepatopancreatobiliary Surgeons: Identifying Benchmarks Associated With Rank in North America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Academic achievement is an integral part of the promotion process; however, there are no standardized metrics for faculty or leadership to reference in assessing this potential for promotion. The aim of this study was to identify metrics that correlate with academic rank in hepatopancreaticobiliary (HPB) surgeons. Materials and Methods Faculty was identified from 17 fellowship council accredited HPB surgery fellowships in the United States and Canada. The number of publications, citations, h-index values, and National Institutes of Health (NIH) funding for each faculty member was captured. Results Of 111 surgeons identified, there were 31 (27%) assistant, 39 (35%) associate, and 41 (36%) full professors. On univariate analysis, years in practice, h-index, and a history of NIH funding were significantly associated with a surgeon’s academic rank ( P < .05). Years in practice and h-index remained significant on multivariate analysis ( P < .001). Discussion Academic productivity metrics including h-index and NIH funding are associated with promotion to the next academic rank.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it