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Record W4392658648 · doi:10.1080/00958964.2023.2259827

Prompts for eco-social transformation: What environmental education can learn from transformative design

2024· article· en· W4392658648 on OpenAlex
Mark Fettes, Lindsay Cole, Sean Blenkinsop

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

VenueThe Journal of Environmental Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsTransformative learningEnvironmental educationTransformation (genetics)SociologyPedagogyPsychologyMathematics education

Abstract

fetched live from OpenAlex

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.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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