The Significance of Animal Cruelty in Child Protection Investigations
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 purpose of this study was to investigate the frequency with which child protection workers (CPWs) in Ontario, Canada, seek information about animal cruelty during investigations of child maltreatment and the extent to which they consider information about animal cruelty when making decisions about whether intervention is required. The CPWs (N = 78) responded to an online survey about their experiences with animal cruelty during child protection investigations in the previous year. Few CPWs routinely asked questions about animal cruelty during investigations, but those who did ask questions were significantly more likely to report disclosures of animal cruelty by children and caregivers than those who did not ask questions. Many CPWs had directly observed children and caregivers physically harming animals. Almost all respondents indicated that animal cruelty was an important factor to consider when making intervention decisions. The results suggest that CPWs should consider routinely asking children and caregivers questions about animal cruelty and observe the behavior and living conditions of family pets when conducting risk assessments. Future research should determine whether animal cruelty is a reliable indicator of exposure to family violence.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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