Health care professionals' role in preventing child homicides in the context of domestic violence
Bibliographic record
Abstract
This review article highlights the risks that children may face in the context of domestic violence (DV). Although there are significant risks for psychological harm for children exposed to DV, in extreme cases, children may be exposed to a domestic homicide or become homicide victims themselves. Often these tragedies appear predictable and preventable with the presence of several risk factors. Risk assessment tools currently being used to identify the level of risk to an adult victim of DV also indicate a potential risk to a child. Health care professionals need to be aware of the risk for lethality with children exposed to DV and to raise these issues with patients in consideration of the risk to children. Prevention of these tragedies requires enhanced training on domestic violence and the risk for lethality with victims and children. Standardized protocols for interventions and risk management that include safety plans for children are needed. Conclusion - Reviews of domestic homicides suggest that children may be at significant risk of harm and health care professionals need to recognize that risks to adult partners in these circumstances also pose risks 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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".