Engaging Youth to Explore Activism: An Educational Framework for Supporting an Ecological Justice-Oriented Citizenry
Bibliographic record
Abstract
The range of social and ecological justice issues our world is currently experiencing is vast. Youth are speaking out and are identifying as activists. Education, and more specifically environmental education, has a role to play in developing justice-oriented citizens committed to taking action on issues. The present study used action research with participation from youth to investigate the role place has played in maintaining the identities of activists committed to social and ecological justice. The secondary focus of the research was to examine whether youth involvement in a participatory, critical learning experience of creating live radio shows with activists as their guests helped the youth to develop and maintain their own activist identity and community. In addressing these questions of activist identity in relation to place, the study is presented in two sections. Part 1 involved research participants producing two live radio shows focused on the role of place in maintaining activism. Part 2 addresses how the youth participants perceived the process of interviewing activists on a radio show as having contributed to their own activist identities. Profiles of each youth participant are presented to explore their perceptions of creating radio shows with older generations of activists. The article concludes with a living theory of education for social and ecological justice.
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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 | 0.011 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.014 | 0.025 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".