The intersection of child welfare, intimate partner violence and child custody disputes: secondary data analysis of the Ontario incidence study of reported child abuse and neglect
Bibliographic record
Abstract
Purpose: The purpose of this paper is to understand child welfare investigations that involve child custody disputes in Ontario, Canada. Methods: The study used data from the Ontario Incidence Study of Reported Child Abuse and Neglect. The OIS is a cyclical, cross sectional provincial child welfare study conducted every five years. Characteristics of investigations involving child custody disputes were examined by conducting chi-square tests on key variables, and a logistic regression was performed to examine the influence of child custody disputes on transfers to ongoing services. Findings: In 2013 approximately 12% of child welfare investigations involved a child custody dispute. These investigations were predominantly referred by a custodial parent, and the primary maltreatment concern was exposure to emotional violence. Investigations involving custody disputes when controlling for all other predictors of maltreatment, were less likely to be transferred to ongoing child welfare services. Implications: There is a complicated relationship between child custody disputes and investigations involving intimate partner violence. Policy and practice implications are discussed.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".