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Record W4395482187 · doi:10.1017/sus.2024.19

Leveraging capacity for transformative sustainability science: a theory of change from the Future Earth Pathways Initiative

2024· article· en· W4395482187 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

VenueGlobal Sustainability · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsFuture Earth
Fundersnot available
KeywordsTransformative learningSustainabilityEarth system scienceEarth (classical element)Sustainability sciencePolitical scienceEnvironmental ethicsEngineering ethicsEarth scienceSociologyEngineeringSustainability organizationsGeologyEcologyPhilosophyBiologyPhysics

Abstract

fetched live from OpenAlex

Abstract Non-technical summary To address increasingly pressing social–environmental challenges, the transformative strand of sustainability science seeks to move beyond a descriptive-analytical stance in order to explore and contribute to the implementation of radical alternatives to dominant and unsustainable paradigms, norms, and values. However, in many cases, academia is not currently structured to support and reward inter-/trans-disciplinary and transformative endeavors. This paper introduces a theory of change for the Future Earth Pathways Initiative, and similar initiatives, to help leverage the capacity of sustainability scientists to engage in transformative research. Technical summary The increasing body of descriptive-analytical knowledge produced by sustainability science over the last two decades has largely failed to trigger the transformation of policies, norms, and behaviors it was aiming to inform. The emergent transformative strand of sustainability science is a proactive alternative approach seeking to play an active role in processes of societal change by developing knowledge about options, solutions, and pathways, and by participating in their implementation. In principle, scientists can enhance their contribution to more sustainable futures by engaging in transformative research. However, a lack of skills and competencies, relatively unmatured transformative methods and concepts, and an institutional landscape still geared toward disciplinary and descriptive-analytical research, still hinders the sustainability science community from engaging more widely in transformative research. In this paper, the Future Earth Pathways Initiative introduces a theory of change (ToC) for increasing the capacity of sustainability scientists to engage in this type of research. This ToC ultimately aims to build a growing community of practitioners engaged in transformative research, to advance concepts, methods, and paradigms to foster ‘fit-for-purpose transformative research’, and to shape institutions to nurture transformative research-friendly contexts. Social media summary What would a theory of change for leveraging the transformative capacity of sustainability science look like?

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.049
GPT teacher head0.276
Teacher spread0.227 · 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