Raising campus awareness on issues of globalization in veterinary medical education
Bibliographic record
Abstract
<ns4:p>This article was migrated. The article was marked as recommended. Ross University School of Veterinary Medicine (RUSVM), due to its geographic location, provides an opportunity to raise awareness regarding issues of globalization in veterinary medical education, specifically in relation to diversity and acculturation. This manuscript discusses RUSVM's demographics and raises awareness concerning challenges North American students may experience when immersed in an environment where the racial mix of the university is predominantly White, vastly different than the community in which it resides.RUSVM students, faculty and support staff (n=1448) were invited to complete the American Veterinary Medical Association climate survey. Survey response rate was 36%. Students and faculty self-identified as White (80% and 76%, respectively), and support staff self-identified as African American or Black (71%). Non-US Faculty reported a legal residence of Europe 8%, Africa 2%, or the Caribbean (44%), and support staff of Saint Kitts and Nevis (68%). Non-US students, most often indicated Canadian residency. Qualitative analyses resulted into three themes addressing university climate (35%), culture privilege (42%), and professionalism (24%). Matriculation of North American students wishing to study abroad should include deliberate discussions with respect to diversity, cultural and social contexts supporting acculturation, and adaptation to a broader academic environment.</ns4:p>
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".