A Dual-Factor Approach to Exploring Wraparound Outcomes in Children with Serious Emotional Disturbance within Community-Based Mental Health Settings
Bibliographic record
Abstract
Research has documented positive outcomes for youth who receive wraparound services; however, the specific mechanism for change has not yet been clarified. Data were collected from a sample of 253 youth with Serious Emotional Disturbance (SED) who completed wraparound services as a part of publically-funded community-based mental health services (58% male; 49% Caucasian; mean age 12.25 years). Results indicated that both environmental and individual protective factors increased significantly and risky behaviors, including self-harm and aggressive behaviors, decreased significantly throughout youths’ time in wraparound services. Improvements in protective factors and decreases in risk factors were significant predictors of clinically significant mental health improvement at exit from community-based wraparound services. Study findings highlight the utility and importance of a dual-factor approach to mental health assessment when implementing and evaluating wraparound services.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".