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Record W3125980084

Climate Change Litigation and Narrative: How to Use Litigation to Tell Compelling Climate Stories

2018· article· en· W3125980084 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of British Columbia
FundersLaw Foundation of British Columbia
KeywordsClimate changePolitical sciencePlaintiffCognitive reframingFraming (construction)Public relationsLawSocial psychologyPsychologyGeography
DOInot available

Abstract

fetched live from OpenAlex

There is scientific consensus that anthropogenic climate change is occurring and that it has had and will continue to have profoundly negative social, economic, and environmental consequences. The US government has not taken sufficient action to mitigate the threat of dangerous climate change. Frustrated by the lack of action in the legislative and executive branches, climate advocates have turned to the judicial branch and litigation to advance their cause. Litigation is important not only for its ability to create substantive legal change, but also for its power to generate media coverage and shape public and political discourse. There is growing recognition of the important contributions psychology can make to the study and practice of law. Research in psychology helps illuminate why the US public has had trouble engaging with the science of climate change, understanding the risks posed by climate change, and feeling motivated to take corrective action. Research also shows that how a public health issue is framed powerfully shapes the public debate and policy prescriptions for that issue. This thesis examines how climate advocates can construct their litigation messaging in light of insights from psychological and framing theories to most effectively advance the climate movement in the US. I chose to analyze three climate change litigation strategies that might present an opportunity of overcoming the public’s psychological hurdles to engaging with climate change and offer a narrative on climate change that would resonate with the public. In conducting my analysis, I found that, if used effectively, the medium of litigation offers a unique opportunity to reframe climate change and overcome the public’s cognitive hurdles to perceiving the true dangers of climate change. The structure of litigation, which requires plaintiffs to trace their injuries—including economic, social, and health-related injuries—to the actions of defendants, allows climate advocates to leverage insights from framing and psychology to make their climate change narratives as salient as possible.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.740

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.091
GPT teacher head0.361
Teacher spread0.271 · 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

Quick stats

Citations11
Published2018
Admission routes2
Has abstractyes

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