Student and Institutional Achievements during an OIE Veterinary Education Twinning Project Collaboration between Sokoine University of Agriculture and Kansas State University
Bibliographic record
Abstract
This collaborative partnership aimed to enhance the quality of veterinary education at both Sokoine University of Agriculture (SUA), College of Veterinary Medicine and Biomedical Sciences (Tanzania), and Kansas State University (KSU), College of Veterinary Medicine (United States), by facilitating exchange of knowledge, experience, and ideas. One project objective was to integrate the World Organisation for Animal Health (OIE) Guidelines on Veterinary Education Core Curriculum into the SUA education program so veterinary graduates would be equipped with the minimum competencies needed to support their National Veterinary Services (OIE Day 1 Competencies). Curriculum mapping revealed that partners addressed different OIE Day 1 Competencies to varying degrees and they had complementary strengths and weaknesses. The partners' practical and educational experiences were also complementary, providing each opportunities to learn from the other and a solid basis for long-term mutually beneficial collaboration. Through structured exchanges, the collaboration allowed SUA and KSU students and faculty to broaden their perspectives by exposing them to veterinary medicine, culture, ecosystems, teaching environments, and farming systems in each other's country. Visiting faculties and students from both universities were exposed to different livestock systems, varying dynamics at the human-livestock-wildlife interface, different teaching systems, and a veterinary profession with a different culture and focus than that in their own country. Students and faculty learned about the relative social and economic importance of different types of animal production in each country and their influence on veterinary education priorities. Partnership outcomes include a continuing professional development course at SUA for private and public sector veterinarians and a clinical club to expose students at both colleges to a broader range of clinical cases and knowledge.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".