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Record W4408317355 · doi:10.1002/casp.70073

Overcoming Climate Gridlock: Perspectives of Climate Leaders on How to Achieve Social Change During Persistent Failure in Australia

2025· article· en· W4408317355 on OpenAlexaff
Janquel D. Acevedo, Ava Disney, Kelly S. Fielding, Catherine E. Amiot, Matthew J. Hornsey, Fathali M. Moghaddam, Emma F. Thomas, Stewart Sutherland, Susilo Wibisono, Winnifred R. Louis

Bibliographic record

VenueJournal of Community & Applied Social Psychology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversité du Québec à Montréal
FundersAustralian Research CouncilUniversity of Queensland
KeywordsGridlockClimate changePolitical scienceNatural resource economicsEnvironmental resource managementEconomicsPoliticsEcologyBiologyLaw

Abstract

fetched live from OpenAlex

ABSTRACT Despite sustained efforts of social movements worldwide, there has been a lack of progress on mitigating climate change. Recent research examined the psychological consequences of one‐off collective action failures, but there has been little research on how to overcome persistent failure to create social change. This qualitative research ( N = 26) interviews leaders, founders, experienced advocates, and philanthropists from organisations ranging from direct action to environmental non‐governmental organisations in the Australian climate movement to gain insights into what they believe the movement needs to achieve its goals. Participants focused on strategies both internal and external to the movement. Our thematic analysis revealed two key internal themes: (1) strengthening the movement through movement building, diversity, and coalition building; and (2) building resilience and flexibility by gaining more resources, promoting well‐being, and developing more dynamic strategies and tactics. The three critical external themes were (1) speaking and acting ‘truth to power’ by addressing state capture and using government leadership; (2) achieving between‐system change by addressing economic systems and social norms; and (3) alignment with nature by respecting the natural world, incorporating climate disasters in communication programs, and expanding personal relevance. We discuss the applied and theoretical implications of our results. Please refer to the Supplementary Material section to find this article's .

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.217
GPT teacher head0.423
Teacher spread0.206 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Community & Applied Social PsychologySame topicClimate Change, Adaptation, MigrationFrench-language works237,207