The Beginning of the End
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to determine the relationship between gender, research productivity, academic rank, and departmental leadership positions of pathology faculty in North America. METHODS: The online information presented for the faculty members in all American- and Canadian-accredited pathology residency programs' official websites and Elsevier's SCOPUS were queried to assess research productivity, academic ranks, and leadership positions. RESULTS: Among 5,228 academic pathologists included in our study, there were 3,122 (59.7%) males and 2,106 (40.3%) females. Male faculty held higher academic ranks (being professor) and leadership positions (chair/program director) (P < .0001). Males were more likely to hold combined MD-PhD degrees (P < .0001) than females. The median h-index for the male faculty was 17 vs 9 for the female faculty (P = .023). CONCLUSIONS: Gender has a significant influence on leadership positions, academic ranks, and research productivity among pathology faculty members in North America.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".