Child Maltreatment and Intimate Partner Violence in Mental Health Settings
Bibliographic record
Abstract
Intimate partner violence (IPV) and child maltreatment (physical, emotional, sexual abuse, neglect, and children's exposure to IPV) are two of the most common types of family violence; they are associated with a broad range of health consequences. We summarize evidence addressing the need for safe and culturally-informed clinical responses to child maltreatment and IPV, focusing on mental health settings. This considers clinical features of child maltreatment and IPV; applications of rights-based and trauma- and violence-informed care; how to ask about potential experiences of violence; safe responses to disclosures; assessment and interventions that include referral networks and resources developed in partnership with multidisciplinary and community actors; and the need for policy and practice frameworks, appropriate training and continuing professional development provisions and resources for mental health providers. Principles for a common approach to recognizing and safely responding to child maltreatment and IPV are discussed, recognizing the needs in well-resourced and scarce resource settings, and for marginalized groups in any setting.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".