Different Means to an End: Exploring the Methods and Objectives of the Youth Climate Movement
Bibliographic record
Abstract
In September 2019, streets across the world filled with millions of children and youth demanding climate action, demonstrating the growing concern young people feel about their futures (Taylor, Watts, & Bartlett, 2019). However, protests are only one of the methods youths use to show their dissatisfaction with current climate change policies. Youth are also utilizing education, entrepreneurship, civil disobedience, legal actions, and many more methods to influence and challenge the social and economic system (O’Brien et al., 2018). \n \nWhile youth have gained increasing attention in popular media, their voices are still largely absent from the climate change literature (Petrasek MacDonald et al., 2013). The studies that have been done on the youth climate movement tend to focus on only one form of activism, often student strikes, and do not feature the youth activists themselves. This study is a cross-sectional, qualitative analysis on an organizational scale to examine the methods, objectives, and values of organizations in the youth climate movement in Canada. Nine leaders from eight youth-driven or focused climate change organizations utilizing different forms of activism participated in semi-structured individual interviews. \n \nThe key goals of the youth climate movement appeared to be centered around solving the climate crisis, uplifting and empowering youth voices, achieving climate justice, changing policies and systems, and building networks and relationships. Furthermore, these goals and values are influenced by science, emotions, and sociocultural factors. The methods or tactics utilized ranged from protest to filmmaking- Overall, it appears that the movement is rather wide both in its scope and its choice of methods for change. \n \nThese findings add much to the youth climate movement and social movement literature, even with this study’s limited scope. It gives a better understanding of the movement in Canada, offers a broader understanding of the movement by analyzing more than one form of activism, and it gives youth a voice in the literature. It also demonstrates how understanding youth as a form of marginalization is an important part of understanding the youth climate movement and how youth utilize this movement to renegotiate negative stereotypes about their civic engagement.
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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 | 0.028 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.021 | 0.025 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.001 | 0.004 |
| 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".