“Concepts in Animal Welfare”: A Syllabus in Animal Welfare Science and Ethics for Veterinary Schools
Bibliographic record
Abstract
Public attitudes toward animal welfare have improved with growing social affluence, and veterinarians are increasingly expected to be informed about animal welfare in a broader sense than health alone. However, animal welfare has not been a traditional component of the veterinary curriculum. To help address this lack, the World Society for the Protection of Animals(WSPA) and the University of Bristol School of Veterinary Science launched the ''Concepts in Animal Welfare'' syllabus in 2003. This comprehensive syllabus comprises seven core and 23 elective modules and covers a range of animal welfare issues, including farm and companion animal welfare, wildlife, and the use of animals in experiments. There are also modules on ethics and animal legislation. The syllabus is interactive, promotes critical analysis of issues from different angles, and may be adapted for use in any veterinary curriculum. WSPA provides training and workshops in developing countries and assists with the implementation of the syllabus.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".