Paternal Filicide in the Context of Domestic Violence: Challenges in Risk Assessment and Risk Management for Community and Justice Professionals
Bibliographic record
Abstract
Paternal filicide in the context of domestic violence is a rare event that is often hard to predict and prevent. However, the results from current research with domestic homicide review committees suggest that warning signs may be overlooked by some professionals and agencies that do not foresee the direct harm to children. Even in cases where the dangers to adult victims were recognised, the potential harm to the children was not seen. Child homicides in the context of domestic violence are often motivated by revenge against the mother for leaving the abusive relationship. The findings suggest that adult homicides and child homicides, which take place in the context of domestic violence, have similar warning signs. The findings have implications for all professionals working in the healthcare, social service, education and justice sectors. In particular, there is a need for close coordination among family and criminal courts, professionals to ensure that the safety plan for a parent in these circumstances extends to the children as well. Copyright © 2014 John Wiley & Sons, Ltd. ‘Child homicides in the context of domestic violence are often motivated by revenge’ Key Practitioner Messages Paternal filicide is a rare event that is often hard to predict and prevent. Current research with domestic homicide review committees suggests that warning signs may be overlooked by some professionals and agencies that do not foresee the direct harm to children. Child homicides in the context of domestic violence are often motivated by revenge against the mother for leaving the abusive relationship. There is a need for close coordination amongst family and criminal Court professionals to ensure that the safety plan for a parent in these circumstances extends to the children as well. ‘Warning signs may be overlooked by some professionals and agencies that do not foresee the direct harm to children’
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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 | 0.079 | 0.279 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.005 | 0.017 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".