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Record W3121956567 · doi:10.58948/0738-6206.1844

The Fossil Fuel Industry’s Push to Target Climate Protesters in the U.S.

2020· article· en· W3121956567 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

VenuePace Environmental Law Review · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGovernment (linguistics)State (computer science)Climate changePolitical sciencePolitical economyMoment (physics)Fossil fuelEconomySociologyEngineeringEconomicsEcology

Abstract

fetched live from OpenAlex

At the very moment when the United Nations has called for profound shifts in social and economic systems to avert climate catastrophe, state and non-state actors in the United States (U.S.) are using a series of tactics to target and stifle climate protesters. Although the move to stifle climate protesters is often framed as a government effort, this Article argues it is critical to draw out the role of the fossil fuel industry in initiating, amplifying, and supporting such tactics. This Article highlights the role the fossil fuel industry has played in supporting the targeting and restricting of climate protesters in the U.S. The strategies for targeting protesters are grouped into three broad categories, with each category relying on distinctive legal tools. The first category is federal and state legislation that heightens penalties for climate protester in myriad ways. The second is the use of violence and surveillance against climate protesters by both state and non-state actors, which is connected to a rhetorical and legal push to label protesters as extremists and terrorists. The third is retaliatory lawsuits filed against climate protesters and organizations that support climate protests. Although such actions often ostensibly target civil disobedience, by imposing immense criminal and financial consequences, they threaten to unconstitutionally chill lawful, protected protest as well. By examining the tactics in concert, it is much easier to see how both individual protesters and organizations that support protesters might be chilled from participating in lawful climate protest. It is also clear that there are important synergistic effects when these tactics are used together, heightening their respective abilities to undermine and chill climate protest. A third insight is how difficult it is for climate protesters to legally challenge these tactics. Finally, the analysis shows the pivotal role fossil fuel industry trade and lobbying groups play in targeting climate protesters, highlighting the breadth and depth of industry support for such tactics.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.022
GPT teacher head0.236
Teacher spread0.214 · 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