Veterinary School Consortia as a Means of Promoting the Food-Supply Veterinary Medicine Pipeline
Bibliographic record
Abstract
Ideas about centers of emphasis and veterinary medical teaching consortia have resurfaced to attract students into food-supply veterinary medicine (FSVM). From 1988 to 2000 a multiple veterinary school consortium approach to food-animal production medicine (FAPM) teaching was conducted to handle regional differences in case load, faculty strengths, and student interests. Six universities developed a memorandum of understanding to provide a wide variety of in-depth, species-specific clinical experiences in FAPM to balance their individual strengths and weakness in addressing food-animal agriculture, to provide for student exchange and faculty development, and to conduct research in food safety. Changes in leadership, redirection of funds, failure to publicize the program to faculty and students, and a focus on research as opposed to teaching led to dissolution of the consortium. However, this approach could work to improve recruitment and retention of students in FSVM if it focused on student exchange, fostered a more integrated curriculum across schools, encouraged faculty involvement, garnered institutional support, and used modern technology in teaching. Private veterinary practices as well as public/corporate practices could be integrated into a broader food-animal curriculum directed at building competency among FSVM students by providing the in-depth training they require. Requirements for the success of this type of program will include funding, marketing, leadership, communication, coordination, integration, and dedicated people with the time to make it work.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".