Youth Homelessness: The Relationships among Mental Health, Hope, and Service Satisfaction.
Bibliographic record
Abstract
INTRODUCTION: This paper reports a mental health assessment of 60 homeless youth. Our study explored the mental health needs of youth accessing an overnight youth shelter (maximum stay 8 weeks). METHODS: Participants completed an interview (45 to 120 minutes in duration) using one demographic form and one of two standardized questionnaires (Youth Self Report, Adult Self Report). Questions assessed youth mental health symptoms, examined various contacts that youth made with mainstream society (services, family), and identified potential motivating factors (hope, service satisfaction) that may play a role in fostering street survival during adolescence. RESULTS: Forty-eight percent of the youth were clinically symptomatic and most youth accessed a range of general health services. CONCLUSION: However, those most in need had significantly less service satisfaction, less hope about the future, and had not accessed mental health 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".