A Survey of Veterinary Medical Professionals’ Knowledge, Attitudes, and Experiences with Animal Sexual Abuse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There has been little study of animal sexual abuse (ASA). Subsequently, little is known about veterinary medical professionals' (e.g., Veterinarians, Veterinary Technicians, Veterinary Nurses) knowledge of ASA and how they may contribute to the prevention of ASA. Thus, the objective of this paper is to comprehensively study ASA in a sample of veterinary medical professionals. Eighty-eight professionals were recruited through professional associations and posts on social media to take part in a survey examining non-sexual animal abuse, ASA, and criminal justice perceptions. Results indicated that, levels of knowledge and training were much lower for ASA than non-sexual abuse. Professionals also responded punitively toward individuals who have committed sexual abuse against animals and supported long prison sentences and registries for offenders. Veterinary medical professionals were supportive of mandatory reporting of all types of abuse but did not feel prepared to testify in these cases should they go to court. These results have implications for practice as they indicate that veterinary medical professionals are not receiving enough training on abuse - particularly ASA - which could put their patients at risk of continued harm.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it