Youth Engagement in the Community: The ethics of inclusion and exclusion
Bibliographic record
Abstract
This study focuses on the engagement of children and youth in their communities and the ways they are included in and excluded from community life. Using a content analysis of a small town United States newspaper over a one-year period, examples of engagement were identified and classified into 12 categories: programs, clubs and special events; fundraising and community service; business and community support; participation in community events; school events; athletic and other performances; employment; involvement in local planning and decision making; serving as a community representative; visibility and recognition; criminal activity and accidents; and use of public space. Examples of community exclusion were identified as well. Young people were engaged primarily through activities that were adult-directed or supervised, or organized through schools, churches, and youth clubs. There was little involvement in local planning, decision making, or activism. Some evidence existed of peer teaching, leadership, and self-initiated activities, as well as intentional efforts by adults to give youth a greater voice in community activities. Implications include several ethical issues regarding the role of young people in community life, particularly young children, and the need for greater awareness on the part of communities of the contributions young people can make.
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 | 0.053 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.059 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 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".