Beyond the Headlines: Exploring Media Portrayal of Youth Climate Change Activists
Bibliographic record
Abstract
Climate change is the biggest global threat to our planet today and youth will bear the brunt of this threat (Currie & Deschênes, 2016). Recently, we have seen youth stand up and become activists for climate. This qualitative study was conducted on media representations of youth climate change activists because of its usefulness for exploring the complexity of youth voices, and how they are ignored. This research focuses closely on Swedish teen activist, Greta Thunberg, currently 18, and Autumn Peltier, 17, a Canadian Indigenous activist and Chief Water Commissioner of the Anishinabek Nation. By employing Foucault’s theory of discourse and power, the sociology of childhood, and the United Nations Convention on the Rights of the Child (1989, herein UNCRC), this research provides new insight on our representations of youth activism. Through analysis, there were seven distinct discourses related to the research questions: adults as supporters, active actors, westernized viewpoints, lone and collective activism, media as a gatekeeper/catalyst, hierarchical and power relations, and dismissal of children. Findings showed that to change media’s perceptions of youth activism, we must first challenge the discourse of childhood innocence, while also still holding relative power in a non-authoritarian way. The UNCRC (1989) also needs to be integrated further within schools and policy implementation as even though childhood globally shares the same inherent rights, not all youth activists are being afforded the same opportunities that Swedish teen Greta Thunberg has been given.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".