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Record W4415176956 · doi:10.1080/00958964.2025.2567389

Thinking with the refrain: What is sustained in sustainability?

2025· article· en· W4415176956 on OpenAlexaffabout
Kathryn Riley, Margot Hurlbert

Bibliographic record

VenueThe Journal of Environmental Education · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of ReginaUniversity of Manitoba
Fundersnot available
KeywordsEnvironmental educationQualitative researchCritical thinkingResearch methodologyTeaching method

Abstract

fetched live from OpenAlex

Mobilizing efforts for active contributions to sustainable societies is an increasingly important task, particularly given the escalating impacts of climate change affecting site specific locations in various intensities. In this article, we explore stories of municipal priorities for sustainability as generated through the Governing Sustainable Municipalities (GSM) project in Saskatchewan, Canada. Through the Deleuzoguattarian concept of the refrain, we question what is actually sustained in sustainability to move to a critical examination of what sustainability does through ontological relationality. Rather than suggesting a universal definition of sustainability, we open up pathways of sustainability policy making and implementation as situated within localized place-based responsiveness to social, environmental, and economic threats; actualizing participatory governance and educational pathways to engender problematization and politicization in reimagining sustainability for different temporal horizons. This article contributes to existing conceptual Deleuzoguattarian work by adding important empirical connections and contributing to the field of critical environmental education.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.075
Scholarly communication0.0120.016
Open science0.0020.009
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.003
GPT teacher head0.242
Teacher spread0.240 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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