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Record W4408321245 · doi:10.1002/sce.21963

Transformative Climate and Environmental Education for a Just Future

2025· article· en· W4408321245 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience Education · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransformative learningEnvironmental educationScience educationEnvironmental ethicsSociologyEngineering ethicsPedagogyMathematics educationPsychologyEngineeringPhilosophy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.278
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it