Prompts for eco-social transformation: What environmental education can learn from transformative design
Bibliographic record
Abstract
This paper seeks to bring together two seemingly disparate conversations, design and environmental education, with the intent to offer an interesting, new, useful approach to developing educational responses to the climate and ecological crises engendered by the Capitalocene. Beginning with observations on the relevance of design to the creation of alternative futures, we outline results from a six-person year-long research project that led us to identify six principles for guiding eco-social-cultural change: all my relations, abundant time, mystery/unknowability, embeddedness/integration, ancient futures, and (re)creative dissonance. We situate this work within transformative orientations to design, which are shown to parallel critical threads in the environmental education literature. We then extend, rework, and reimagine the six principles by suggesting how they can serve as prompts to assist environmental educators to reexamine and move beyond problematic norms of the Capitalocene in their thinking and practice.
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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 | 0.027 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.042 |
| Scholarly communication | 0.013 | 0.023 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".