Evaluating factors influencing dog post-adoptive return in a Canadian animal shelter
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 Understanding the factors associated with post-adoptive return in dogs ( Canis familiaris ) is important for reducing shelter return rates. The objective of this retrospective study was to identify factors detectable in shelters associated with post-adoptive return in an objective dog-centric analysis. The records of 959 dogs were evaluated via factor analysis of seven behaviour and seven physical variables which resulted in the extraction of six principal factors. Fear aggression, ongoing health concerns, separation anxiety, sex-specific aggression, and age effect on source were not found to significantly impact outcome. In particular, dog aggression risk (a factor composed of breed, size, and dog aggression) was found to be significantly higher in returned dogs. Since dog aggression risk is associated with post-adoptive return, this could help shelters to modify policies to either screen aggressive dogs from the adoption population or improve adoption counselling in an attempt to help lower return rates.
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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 | 0.000 | 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