‘I feel like we finally matter’: the role of youth-led approaches in enhancing leisure-induced meaning-making among youth at risk
Bibliographic record
Abstract
The purpose of this qualitative case study was to explore how engaging youth at risk through a youth-led approach to recreation and leisure programming can contribute to leisure-induced meaning-making. Seven women (four youth at risk [18–22 years] and three adult recreation practitioners) participated in one-on-one semi-structured interviews. Data were also generated via observation and field notes. A three-phase process of content analysis was used to analyse findings. Findings suggest that youth-led approaches to recreation and leisure programming can contribute to leisure-induced meaning-making by: (a) supporting interests and endeavours; (b) connecting to community; (c) overcoming barriers, together; (d) co-creating safe spaces to be engaged; and (e) developing personal and collective positive outcomes. This research makes theoretical contributions to the leisure literature and provides essential insights regarding proactive engagement of youth at risk and meaning-making for practitioners and policy makers from a practical perspective.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| 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".