The Significance of Animal Cruelty in Child Protection Investigations
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.079 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".