Covid Cats and Pandemic Puppies: The Altered Realm of Veterinary Care for Companion Animals during a Global Pandemic
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
The emergence of the COVID-19 pandemic in Canada and the US significantly impacted the myriad relationships that exist amongst human and non-human animals. This article highlights the tolls that the virus and lockdown measures took (and continue to take) on companion animals and the veterinary professionals who care for them. Veterinary medicine scrambled quickly to adapt to new parameters of care using pandemic protocols, radically transforming the amount and quality of care for companion animals, and the work lives of those who provide it. Changes in clinic protocols, patient admissions and discharges, deliveries, shipments, appointment scheduling and duration, and the availability of food, pharmaceuticals and medical equipment all impacted the lives of non-human animals, and the work lives of those providing veterinary care . The authors employed mixed methods research, combining ethnographic data with secondary source data analysis to illuminate the new realities of labor and interspecies care work in the lockdown-induced anthropause. The findings are relevant to veterinary professionals, researchers, companion animal guardians, animal welfare advocates, and possibly emergency management organizations in prepareding for future catastrophic events.
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 | 0.001 | 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 | 0.001 | 0.000 |
| 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