Youth Homelessness: The Impact of Supportive Relationships on Recovery
Bibliographic record
Abstract
Background Homeless youth are the fastest growing sub-group within the homeless population. They face impaired access to health services and are often left unsupported. They lack social and family support or relationships with service providers. Unsupported homeless youth often become homeless adults. Purpose To test a model based on Peplau's Theory of Interpersonal Relations, examining the influence of a network of service providers, perceptions of social supports, and family relations on a homeless youth's perceptions of recovery. Methods This study is a secondary analysis and used a sample (n = 187) of data collected as part of the original Youth Matters in London study. A cross-sectional design was used to analyze the relationship between variables. Participants were interviewed at 6-month intervals over a 2.5-year period. Hierarchical multiple regression analysis was used. Results Network of service providers, perceived social supports, and perceived family relations explained 21.8% of the variance in homeless youth perceptions of recovery. Perceived social support and family relations were significantly, positively correlated to perceptions of recovery. Network of service providers was not significantly correlated to perceptions of recovery. Conclusions The findings suggest that stronger social supports and family relations may contribute to increased perceptions of recovery among homeless youth.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".