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Record W4416450545 · doi:10.1080/17524032.2025.2585990

Policing the Climate Crisis: Media Fearmongering and State Repression of Climate Protesters in Australia, Canada, and the United States Within the Post-2016 Conjuncture

2025· article· en· W4416450545 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Communication · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsState (computer science)Psychological repressionClimate justiceClimate changeGovernment (linguistics)

Abstract

fetched live from OpenAlex

This paper examines the present-day, post-2016 conjuncture of rising authoritarianism and reactionary politics through an analysis of news media and the symbolic criminalization of climate campaigners, Indigenous land and water defenders, and climate justice activists across major publications of record in Australia, Canada, and the United States. Drawing upon Stuart Hall’s influential work on media fearmongering and Othering and his “conjunctural analysis” approach, we examine national news media representations of climate protests with an eye towards wider, political-economic contexts and conditions. This approach allows us to glean insights into a period of profound change while identifying discursive mechanisms of power within and across borders. Through a historically contextualized and cross-national analysis of news reports and opinion commentaries on recent climate protest events, we ultimately reveal how prominent national news outlets in Australia, Canada, and the United States are positioning protesters, and particularly historically marginalized groups who are a part of climate movements, as deviant, criminal, and threatening to the stability and security of the nation-state. We argue that this is significant because these derogatory representations are circulating across borders at the same time as states are specifically targeting and outlawing political, anti-fossil fuel, and infrastructure-oriented forms of climate protest.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.068
GPT teacher head0.340
Teacher spread0.272 · 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