Survey investigating the reasons why UK‐based gundogs ceased working between 2010 and 2019
Bibliographic record
Abstract
BACKGROUND: To determine the longevity of the working life of gundogs in the UK, whether owners' considered retirement was premature and to identify risk factors associated with such work. METHODS: A web-based survey seeking owner information as to the longevity of their dogs' working life and why they were retired, euthanised or died. The sample population is six hundred sixty-five dogs. RESULTS: The median age at which Springer spaniels stopped work was 11 years and for Cocker spaniels, it was 9 years. The median age for Labrador retrievers was 10 years; for Golden retrievers, 11 years and Flat-coated retrievers, 9.5 years. Cocker spaniels stopped work at a significantly younger age than Springer spaniels (p = 0.0003) or Labrador retrievers (p = 0.0407). There was no significant difference between the other major breeds. The majority of owners (54.3%) were satisfied with the working lifespan of their dog. Seventy per cent of dogs were retired, the three most prevalent reasons being lameness (25.2%), old age (23.7%) and deafness (7.8%). Forty-four dogs died (6.6%) and 158 (24%) were euthanised, with cancer (58%) being the most common reason. CONCLUSIONS: No work-related issues were identified and gundogs appear to have similar causes of mortality to the general canine population.
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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 | 0.000 | 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 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".