Building resilience in children of mothers who have Co-occurring Disorders and histories of Violence
Bibliographic record
Abstract
Historically, children of parents with co-occurring substance abuse and mental health disorders and histories of violence/trauma have been overlooked in behavioral health treatment systems. The Women, Co-occurring Disorders and Violence Study (WCDVS) was a 5-year initiative funded by the United States Substance Abuse and Mental Health Services Administration (SAMHSA) that included a Children's Study that explored the treatment needs of children of women with these multiple disorders. This article describes the development of the Children's Study intervention that included clinical assessment, group intervention, and resource coordination/advocacy for children aged 5-10 to build resilience through increasing coping skills, improving interpersonal relationships, and helping coalesce positive identity and self-esteem. Innovative procedures, including the participation of consumer/survivor/recovering women and mothers, in the planning, implementation, and administrative applications of this intervention and study are also highlighted. It is recommended that programs begin to implement family-focused integrated treatment approaches that can potentially increase protective factors for children affected by parental mental illness, substance abuse, and violence.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".