Protecting Children from Exposure to Domestic Violence: The Use and Abuse of Child Maltreatment Statutes
Bibliographic record
Abstract
In the past two decades, researchers have amassed an impressive body of empirical data demonstrating the deleterious impact of exposure to interparental violence on children. Policymakers are now confronted with the question of how society can best prevent children's exposure to domestic violence and assist those children already exposed. A range of policy initiatives aimed at promoting the well-being of exposed children have emerged in the last several years. Whereas some statutory trends have been lauded by a broad range of constituencies, others have engendered substantial controversy. There is particularly vociferous debate about statutes that bring children exposed to domestic violence under the dependency jurisdiction of the juvenile court. This Article evaluates the soundness of this approach from theoretical and practical standpoints, and makes recommendations as to the types of statutes that are most likely to achieve their stated goals, while minimizing unintended negative consequences.\nThis Article begins by reviewing the various types of statutes enacted to protect children from exposure to domestic violence. It then examines the history, philosophy, and traditional roles of the child protection system in the United States. It analyzes how childhood exposure to domestic violence meshes with the current mandates of, and goals served by, the juvenile court's dependency jurisdiction. This Article then focuses on the approaches taken by several U.S. states and Canadian provinces to use their child protection systems to address the needs of children exposed to domestic violence. Some states have interpreted existing statutes as reaching this population; others have passed statutes specifically expanding the state's definition of child maltreatment; and still others have made internal shifts in child protective services' handling of domestic violence cases. This Article evaluates the efficacy of these strategies, and articulates a blueprint for legal reform.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".