Collaboration Spanning Two Continents: An Online Master’s Degree in Tropical Animal Health
Bibliographic record
Abstract
A joint international program in Tropical Animal Health was launched in 2016 by the Institute of Tropical Medicine, Antwerp, Belgium, and the Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria. This program is flexible in time, place, and curriculum, allowing part-time students to apply the program's learning outcomes directly in their daily work environment. This article focuses on the major challenges and issues related to developing an international joint program in general and how these challenges were addressed. Challenges such as incompatibility of admission procedures, merging academic calendars, and quality assurance mechanisms were mitigated partly by the type of collaboration and partly by using a joint e-learning platform. The e-learning format proved to be a solution for particular challenges such as mobility issues, joint development of course material, and administrative processes. Furthermore, we present the results of a survey on the experiences of graduates and facilitators in this unique joint, web-based program.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".