Effects of changing veterinary handling techniques on canine behaviour and physiology Part 2: Behavioural measurements
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
Abstract Signs of distress in dogs during veterinary visits are often normalised rather than viewed as welfare concerns. Interventions designed to reduce fear during veterinary visits were evaluated to see if they affected dogs’ behaviours compared to dogs without interventions. Twenty-eight dogs were examined at four visits across eight weeks. Dogs were randomised into intervention (distress reduction/adaptive care) and control groups (standard care) and evaluated via the Working Dog Questionnaire – Pet Dog Version (WDQ-Pet). At visit 1 (baseline) all dogs received the control protocol. Homework was assigned following visit 1 to practice collaborative examination (intervention) or to pet the dog (control) for the same allotted time. At each visit, behaviours were scored (clinical stress score) via video and in-person observations when dogs entered the hospital, stepped onto a scale to be weighed, entered the exam room, at the beginning and end of examination, and after venipuncture. There were no differences between groups at visit 1, or across visits entering the hospital or exam room. At visit 4, intervention scores either decreased or remained low when weighed, and at the beginning and end of the physical exam. Control scores were significantly higher than the intervention scores during these periods. Reduced clinical stress scores indicate intervention dogs had improved care experience compared to the control. The study results highlight the value of applying simple and adaptable interventions, ultimately leading to improved animal care and welfare.
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.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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