Youth-Guided Youth Engagement: Participatory Action Research (PAR) With High-Risk, Marginalized Youth
Bibliographic record
Abstract
Engaging youth who live with high-risk, marginalized conditions presents a significant challenge in our society, considering the prevalence of disconnect and distrust they often experience within their social environments/systems. Yet, meaningful youth engagement is a key concept not only for youth development, but also for a systems change to more effectively support high-risk youth and families. This article presents a framework of youth engagement developed over 9 months, using participatory action research (PAR) with 16 youth leaders in a community-based research team. Although this framework has incorporated the youth leaders’ lived experiences, talents, and voices, positive youth development (PYD) and social justice youth development (SJYD) have theoretically contextualized our research. Youth leaders guided the framework's development, including the identification of key themes/dimensions, definitions, and practical examples. The framework's three components—“Basis” (philosophy and principles), “Wh...
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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 | 0.064 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| 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".