Social relationships and social support among street-involved youth
Bibliographic record
Abstract
Recent studies suggest that street-involved youth may have more robust and diverse social networks than previously thought. However, the supports offered by their social relationships have not been studied in detail. We analyzed descriptive quantitative data and open-ended interviews with 130 street-involved youth aged 14–18 in Victoria, Canada, to investigate the perceived roles and supportive functions of their most-valued social relationships. Our results show that most participants were embedded in supportive social relationships. For a substantial minority, these were familial and friendship ties forged prior to street involvement. These off-street relationships were often viewed as reliable and stable long-term sources of social support, including emotional, instrumental and informational support, particularly in times of need. This was the case despite perceived relational difficulties and limited face-to-face contact. Approximately half located themselves primarily within new street-based relationships. In comparison with off-street contacts, street-based social ties provided more consistent, immediate social support, and there was greater diversity in terms of the depth and supportive functions of these relationships. However, street-based relationships were often not perceived as being particularly stable over the long-term. Only a small minority of participants reported having no social contacts to turn to for support. Our results highlight the distinct roles that on- and off-street social relationships play in supporting street-involved youth.
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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 | 0.001 | 0.003 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".