Examining How the Mental Health Needs of Children Who Have Experienced Maltreatment are Addressed within Ontario Children’s Aid Societies
Bibliographic record
Abstract
American data suggest that there is often a lack of mental health service provision to children in the child welfare system that have experienced maltreatment and are exhibiting psychological difficulties. These data are concerning given that the existing literature unanimously concludes that children who have experienced maltreatment present with significantly higher rates of mental health difficulties than general samples of children in the community. Given that little Canadian research has been conducted in this area, this study examined the need identification and referral process made to mental health services by Ontario Children’s Aid Societies (CAS) for children who have experienced maltreatment. Findings indicate a high prevalence of mental health difficulties in this population and a limited standardized approach to the identification and assessment of these issues. It was found that the majority of children who do receive referrals to mental health services are referred to community-based psychologists. Findings regarding the tracking of community referrals and interagency collaboration were encouraging as compared to American data.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| 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".