A Coordinated Teaching Program for Future Dairy Practitioners at the University of Wisconsin—Madison, School of Veterinary Medicine
Bibliographic record
Abstract
The University of Wisconsin School of Veterinary Medicine (UW-SVM) has implemented a variety of strategies to optimize teaching in dairy herd medicine. These include the provision of opportunities for dairy cow handling and management using a dairy teaching herd for veterinary students throughout the four-year curriculum, exposure for all students in their final year to a substantial first-opinion dairy case load using a private practice-based ambulatory clinic rotation, and, finally, the teaching of dairy herd health management and problem solving in a group of four final-year elective production medicine clinical rotations. On average, since 1986, 32.6% of each graduating class attended at least one elective production medicine rotation, with a range from 19.0% to 43.4%. For those University of Wisconsin students who could be traced, 65% were still actively involved in some aspect of dairy practice, representing a range of between seven and 17 students per year since the start of the program. The advantages and disadvantages of operating a "regional center of excellence" for training students from out-of-state institutions are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".