Real-Time Needs, Real-Time Care: Creating Adaptive Systems of Community-Based Care for Emerging Adults
Bibliographic record
Abstract
Research indicates a decline in mental health service utilization between the ages of 16 to 25, leaving emerging adults with mental illness at risk for worsening outcomes. The authors utilized a community-based participatory research (CBPR) approach to explore the mental health landscape for youth aged 16–25 in London, Canada. Interviews and focus groups (n = 30) with community and hospital system leaders, youth and caregivers were transcribed and coded using an approach informed by constructivist grounded theory. There was consensus regarding difficulties in the current system including wait times and crisis-driven services leading to powerlessness among youth and caregivers. Solutions include delivery of services through a flexible, real-time system that emphasizes patient and caregiver engagement, youth centric services and recovery-oriented care across the hospital/community continuum. The results highlight that disparate stakeholders agree regarding the need for transformational change shifting away from traditional medical models.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.001 | 0.002 |
| 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".