The Lives of Young Adults Who Have Graduated from Residential Children's Mental Health Programs (SUMMARY REPORT)
Bibliographic record
Abstract
What happens to children and youth after they leave residential mental health treatment? How do these youth navigate normative developmental transitions like finishing school, getting a job, and finding a place to live? What types of assistance might facilitate these transitions? Despite the critical importance of these questions for youth themselves, for the educational, justice, and mental health systems, and for the development of more appropriate transitions to community programming, surprisingly little is known about what happens to these children and youth over time.\nThis report presents the results of a research process in which 59 young adults who had received residential mental health treatment in the past were sorted into descriptive profiles based on the information they shared about their lives and personal functioning with researchers. Five different groups of young adults emerged from this process and represent the clearest categorizations for understanding this particular sample of young adults from across Southern Ontario who received residential treatment.\nSorting young adults into distinct groups based on their functioning within key life domains (like education, employment, social connections, personal functioning) is useful to understanding the long term community adaptation of youth previously involved in children’s residential mental health treatment. Through a process of describing the defining characteristics of particular groups of young adults we can begin to think about adapting services and supports to meet the unique needs of distinct groups of youth as they transition into young adulthood.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 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".