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Record W4406544843 · doi:10.1111/socf.13042

Denial and misinformation in defense of the tar sands: The case of a Canadian think tank

2025· article· en· W4406544843 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

VenueSociological Forum · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsMount Royal University
Fundersnot available
KeywordsMisinformationDenialCriminologytar (computing)SociologyLawPsychologyPolitical sciencePsychoanalysisComputer science

Abstract

fetched live from OpenAlex

Abstract Literatures within the sociology of science and environmental sociology often focus on climate change denial, misinformation, and the role of think tanks in fueling public skepticism. This work draws our attention to the arguments these organizations make and how they communicate doubt to the public. Less often have they focused on the ways that particular, locally emplaced organizations defend the material interests of the fossil fuel industry. This paper draws upon existing literature to perform a discourse analysis of the public communication (newsletters, press releases, website, blog, YouTube videos, and social media posts) of a Canadian think tank called Friends of Science based in Calgary, Alberta—the economic hub of Canada's tar sands. Through the analysis, I show how this organization works to cast doubt on anthropogenic climate change, communicates this doubt to the public, and slips from communicating about scientific matters—their stated goal—into matters of social, economic, and political advocacy. I show how this is done instrumentally in ways that protect the economic and social interests of Alberta's oil industry.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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