The Social Impacts of Street-involved Youths’ Participation in Structured and Unstructured Leisure
Bibliographic record
Abstract
Little research has focused on street-involved youths’ social relationships. As some scholars have suggested that leisure is inherently social, my research sought to understand whether participation in structured and/or unstructured leisure activities influence street-involved youths’ social relationships with other street-involved youths as well with members of the mainstream community. Written in the publishable paper format, this thesis is comprised of two papers, both of which utilize Foucauldian theory. In the first paper, I examine the impacts of street-involved youths’ participation in Health Matters, a leisure program for street-involved youths in Ottawa, Canada. In the second paper, I examine street involved youths’ unstructured leisure activities (e.g., leisure in non-programmed settings) and their subsequent social impacts. Based on my findings, I argue that street-involved youths use both structured and unstructured leisure to form crucial social connections to make their lives more bearable.
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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 | 0.000 | 0.001 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".