Towards a transformative climate change education: questions and pedagogies
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.
Bibliographic record
Abstract
This paper approaches climate change as a superordinate concern that should guide a holistic transformation of formal schooling towards integration and sustainability. The call for climate change education (CCE) has been amplified by international organizations and youth protestors alike, united by a shared concern for our planet. By combining CCE with principles of transformative learning (TL), the paper outlines a framework for transformative climate change education (TCCE). If climate change fits the description of a super wicked problem, this is also true of TCCE, which requires the simultaneous transformation of curricula, pedagogies, and assessment systems. The paper argues that the implementation of TCCE faces significant challenges because it disputes the underlying values of our transmissive educational systems. Those challenges are formulated here as a series of questions, which are followed by a discussion of sustainability pedagogies that help learners build capacity for understanding and acting on 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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it