CHILDREN’S MENTAL HEALTH SERVICES: INVESTIGATING FACTORS RELATED TO HELP-SEEKING AND AGENCY INVOLVEMENT PATTERNS
Bibliographic record
Abstract
In order to better understand what happens once a parent contacts a children’s mental health centre for help with their child’s psychosocial problems, the current study examined predisposing, need, and enabling/inhibiting factors associated with (1) a pattern of contacting multiple agencies/professionals (high-volume) versus one agency and (2) a simultaneous (overlapping) versus sequential pattern of involvement with multiple agencies/professionals. The strongest predictor of a high-volume help-seeking pattern was parent history of mental health service use. Other significant predictors were lower parental depression and residing in an area with ten or more child serving agencies. The simultaneous agency involvement pattern was associated with more severe child internalizing problems. Both models were validated using bootstrap resampling. Further analyses explored system-level (i.e., service availability) and individual-level (i.e., uptake) correlates of these patterns in the context of Ontario’s children’s mental health system. Implications for service delivery in the children’s mental health system 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".