2018 CVM News: Saddles and scholarship: Two Cornell polo alumni receive lifetime achievement awards in equine reproduction
Bibliographic record
Abstract
This news item is about: They both grew up riding horses, joined the polo team as Cornell undergraduates and dedicated their careers to the field of equine reproduction. But each chose a different path: Dr. Doug Antczak '69 became a professor at the College of Veterinary Medicine, where he has conducted groundbreaking research in equine pregnancy, while Walter Zent '59, D.V.M. '63, joined one of the world's top equine practices and specialized in Thoroughbred breeding in Kentucky. Their contributions to the field were recently recognized by the International Symposium on Equine Reproduction (ISER), which presented Antczak and Zent with Lifetime Achievement Awards. They were among five veterinarians and scientists from the United States, Canada and England who were honored this summer at the ISER meeting in Cambridge, England.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 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".