Companion animal adoption and relinquishment during the COVID-19 pandemic: Households with children at greatest risk of relinquishing a cat or dog
Why this work is in the frame
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Bibliographic record
Abstract
Understanding the factors associated with companion animal relinquishment is key in safeguarding animal welfare and human well-being. The aims of this study were to assess the effect of demographic variables on risk of relinquishment of cats and dogs during the COVID-19 pandemic, and to report characteristics of those that relinquished a cat or dog, and the experience of said relinquishment process. A series of surveys were administered to pet owners (n = 3,945) across several countries including the UK, USA, Canada, Italy, Spain and France. In total, n = 1,324 reported having acquired their cat or dog via online means. There was no association between online source (search engines, breeder websites, rescue websites, online ad sites and social media) and relinquishment status (NCR1 [Never Considered Relinquishment] compared to CR_R [Considering Relinquishment or already Relinquished]. More participants from the USA considered or already had relinquished their cat or dog compared to the UK and Italy. Of those that have already given up their pet, 76.2% agreed that it was an emotionally difficult decision, while 100% agreed that it was, logically, the correct decision. Demographic characteristics in those that reported considering relinquishment or that had already relinquished (CR_R; n = 146) were compared to a comparison group that had never considered relinquishing their pet (NCR2; n = 193). Being a male-gendered pet-owner and a younger pet age increased the risk of relinquishment. Cats and dogs from households with children were 4.6 times more likely to consider or have already relinquished a cat or dog compared to those from households without children. Further research is needed to explore risk of relinquishment of cats and dogs when children are present in the home.
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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 | 0.001 | 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