Stories of Children, Youth, and Familiesâ Adaptation to Community Living in the First Year after Involvement with Childrenâs Residential Mental Health Programs
Bibliographic record
Abstract
Twenty-two youth between the ages of 14 and 18 years old who were involved with residential programs from participating children’s mental health organizations in Southern Ontario, Canada during 2015 to 2017 participated in a study of adaptation to community living in the first year following program exit. Youth, parents, child welfare workers, and mental health workers took part in qualitative interviews up to three times during the study period. Interview comments were used to construct a narrative or “story” of the year following program exit that integrated multiple informants’ perspectives of how each youth was functioning within that timeframe. Stories for youth who returned home to live with their families (12 youth) were examined together to explore any common experiences or processes that described the post-discharge daily living of this group of youth and their families. Similarly, the stories of youth who resided in the care of the Children’s Aid Society following program exit (10 youth) were explored for commonalities that could offer insight into their community adaptation experiences. Study findings underscore the need for proactive and flexible aftercare programming to improve community living outcomes for youth leaving residential mental health programs.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".