Mental Health of Employees at a Canadian Animal Welfare Organization
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 Despite numerous benefits, a dark side exists in human and veterinary caregiving professions that can negatively impact caregiver mental health. It was postulated that other nonhuman animal caregivers, animal welfare employees, might experience mental health outcomes similar to those in analogous caregiving occupations. This study investigated employee mental health at a Canadian animal welfare organization using five validated mental health instruments: Perceived Stress Scale (stress), Hospital Anxiety and Depression Scale (anxiety and depression), Professional Quality of Life Scale (compassion satisfaction and compassion fatigue), Maslach Burnout Inventory Scale (burnout), and Connor-Davidson Resilience Scale (resilience). Front-line and support staff tended to have poorer mental health outcomes relative to the study population mean, potential for burnout was a notable concern, and resilience was below normal for most employees. These results shed light on the mental health of an animal caregiving occupation that has largely been ignored. Strategies for building employee resilience are discussed.
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 | 0.001 | 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) | 0.001 | 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