Intervention outcome preferences for youth who are out of work and out of school: a qualitative study
Bibliographic record
Abstract
BACKGROUND: While interventions have been developed and tested to help youth who have become disconnected from work and school, there is a paucity of research on young people's intervention preferences. This study aims to understand young people's preferred intervention outcomes and approaches for youth who are out of work and school. METHODS: Thirty youth participated in virtual focus groups. Transcripts were analyzed using thematic analysis. RESULTS: Youth want interventions and approaches that support them in (1) vocational readiness, (2) securing a job, and (3) mental health and well-being, while providing them with (4) high-contact, individualized, and integrated support. CONCLUSIONS: Young people want interventions to be individualized and integrated, providing a high level of support for their educational and employment pursuits as well as their mental health and well-being. Incorporating youth's perspectives when designing interventions can increase intervention relevance and potentially service uptake, helping youth continue to pursue their educational and vocational goals.
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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 | 0.021 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".