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Record W3006369922

Manufacturing Consent to Climate Inaction: A Case Study of The Globe and Mail ’s Pipeline Coverage

2019· article· en· W3006369922 on OpenAlexaffabout
Jason MacLean

Bibliographic record

VenueeYLS (Yale Law School) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsUniversity of SaskatchewanUniversity of New Brunswick
Fundersnot available
KeywordsGlobeMainstreamNewspaperGreenhouse gasClimate changeFossil fuelPolitical scienceNews mediaPetroleum industryNatural resource economicsBusinessEconomicsLawEngineering
DOInot available

Abstract

fetched live from OpenAlex

Canada has long been a climate change policy laggard. Canada is among the world’s poorest-performing countries in terms of climate action—not only is Canada’s greenhouse gas emissions-reduction target under the Paris Agreement insufficiently ambitious, Canada is not even remotely on track to meet it. Canada’s enduring inaction on climate change is legitimized and sustained by its mainstream corporate news media, which contribute to the oil and gas industry’s capture of Canadian climate and energy policy. In this article, I examine how Canada’s leading national newspaper, The Globe and Mail, editorially framed the completion of the controversial expansion of the Trans Mountain oil pipeline as being in the “public interest.” The Globe and Mail’s editorial coverage of the Trans Mountain pipeline (among others) is a case study of how corporate new media promote the production and export of fossil fuels at the expense of effective, science-based climate law and policy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.052
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0260.012
Scholarly communication0.0100.004
Open science0.0020.006
Research integrity0.0170.013
Insufficient payload (model declined to judge)0.0080.001

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 head0.023
GPT teacher head0.303
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2019
Admission routes2
Has abstractyes

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