A Global Veterinary Education Program for North American Veterinary Students: A Description of Purdue University Best Practices
Bibliographic record
Abstract
Worldwide growth in global mobility has transformed the way we communicate, trade, and approach global issues. The rise of global migration and distribution comes with a higher probability of transmitted disease, human-wildlife conflict, and food safety issues. No longer viewed as isolated incidents, the occurrence of global health threats in one part of the globe is now a concern throughout the world. Our society needs globally conscious veterinarians who are dedicated to affecting world change through the improvement of animal and human health; veterinarians who are prepared to collaborate, exchange, and engage with the world around them. Higher education institutions for veterinary medicine have the responsibility to prepare their students to become agents of change within society and rewrite the narrative on global health. This article highlights the intentional approach that Purdue University College of Veterinary Medicine took to address the need for more globally conscious veterinarians. The article provides examples of administrative structures, funding sources, global engagement opportunities, methods to increase student awareness of opportunities, and student support. Finally, we describe the impact of this approach in increasing student participation in global engagement.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".