Transformative Climate and Environmental Education for a Just Future
Bibliographic record
Abstract
ABSTRACT This commentary highlights the urgent need to re‐envision climate and environmental education in response to the escalating climate crisis and its far‐reaching social, ecological, and political implications. As young people increasingly express concern for their futures, the authors call for a transformational change in science education that engages with climate change as a complex and pressing issue. To support such transformation, the commentary introduces a new section in the journal Science Education titled “Climate Change and Environmental Education,” providing a platform for empirical research, conceptual inquiries, and policy discourse on education's role in addressing planetary change. This section invites scholarship that expands our understanding of climate change and environmental education through transdisciplinary and justice‐oriented approaches. Key areas of inquiry include learning across spaces, disciplines, and epistemologies, action‐oriented learning through community‐based and participatory approaches, and attending to emotional well‐being while using action to cultivate hope. By advancing these conversations, researchers can critically examine how education fosters the knowledge, agency, and ethical commitments necessary for engaging with the complexities of climate change.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 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".