Youth Challenging Community: between hope and stigmatization
Bibliographic record
Abstract
"This paper presents findings from two research studies: Assets Coming Together for Youth (ACT for Youth); and, Engaging Girls Changing Communities (EGCC). ACT for Youth was a collaborative university-community research study designed to understand youth perspectives on well-being and encourage positive youth development in the historically stigmatized Jane-Finch community, located in North-Western Toronto, Canada. EGCC investigated how young women engage in leadership and civic activities in new urban environments; further, it specifically sought to identify enhancers and barriers to community participation that girls face in their everyday lives. Both ACT for Youth and EGCC legitimize the framework in which youth are presented as assets with possibilities, as sources of knowledge and power, as well as agents of social change with competencies to critically examine the world around them and their participation in it. Further, these projects illustrate that innovative youth participatory methods can provide an opportunity to gain insight into the lives of young people that is grounded in their perspectives and their capabilities. This paper draws on data collected by and from youth and it explores how narratives of violence and well-being produce, trouble, and disrupt the notion of youth criminality and hopelessness. Data also illustrates how youth can engage in initiatives that help address community issues. Additionally, the paper offers methodological insights on the value of engaging youth through research as well as ideas on how such undertakings can foster or hinder the production of bridging social capital."
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.030 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.022 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".