Bibliographic record
Abstract
Contextualized within the popularity of new media, youth engagement is a very important concept in the practice of public involvement. Guided by the current literature on youth engagement and media studies, this chapter examines the key engagement-related notions involving youth and media usage. Being informed by a variety of case studies on youth engagement through the use of media within various contexts globally, the chapter discusses the opportunities and challenges of engaging youth through media usage. The specific notions covered in this chapter include: 1) the role of “hybrid” media in youth engagement; 2) “intersectionality” illustrating the diversity of youth populations and their media usage; 3) meaning-making through media usage among youth; and 4) building global social relationships and social and cultural capital through youth's media usage. Importantly, the use of new media can be seen as a means of reclaiming and reshaping the ways in which youth are engaged, as key meaning-making processes, to address personal, social, and cultural issues.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".