CUSTODY DISPUTES INVOLVING ALLEGATIONS OF DOMESTIC VIOLENCE: TOWARD A DIFFERENTIATED APPROACH TO PARENTING PLANS
Bibliographic record
Abstract
Premised on the understanding that domestic violence is a broad concept that encompasses a wide range of behaviors from isolated events to a pattern of emotional, physical, and sexual abuse that controls the victim, this article addresses the need for a differentiated approach to developing parenting plans after separation when domestic violence is alleged. A method of assessing risk by screening for thepotency,pattern, andprimary perpetratorof the violence is proposed as a foundation for generating hypotheses about the type of and potential for future violence as well as parental functioning. This kind of differential screening for risk in cases where domestic violence is alleged provides preliminary guidance in identifying parenting arrangements that are appropriate for the specific child and family and, if confirmed by a more in‐depth assessment, may be the basis for a long‐term plan. A series of parenting plans are proposed, with criteria and guidelines for usage depending upon this differential screening, ranging from highly restricted access arrangements (no contact with perpetrators of family violence and supervised access or monitored exchange) to relatively unrestricted ones (parallel parenting) and even co‐parenting. Implications for practice are considered within the context of available resources.
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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 | 0.018 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| 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".