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Record W4416675842 · doi:10.1080/09644016.2025.2588911

Capping oil emissions and the mass politics of Canadian sectoral climate policy

2025· article· en· W4416675842 on OpenAlex
Sam Rowan, Amy Janzwood

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Politics · 2025
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsMcGill UniversityConcordia University
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et CultureConcordia University
KeywordsPoliticsClimate policyClimate changeGreenhouse gasEnvironmental policyFossil fuel

Abstract

fetched live from OpenAlex

Decarbonization requires transformational change in the oil and gas industry and a steep decline in production. This creates a broad cleavage in climate policy between groups tied to the fossil fuel industry and those that are vulnerable to climate impacts. We argue that as climate policy advances, it can fracture these groups to create divisions within them. We theorize this process using a cap on greenhouse gas emissions from the Canadian oil and gas industry. In a pre-registered survey, we find that the group that supported expanded oil production fractures when a sectoral emissions cap affects producers differently based on their carbon-intensity of production. Specifically, high carbon-intensity producers who previously supported expanded oil production begin to oppose new oil production when lower carbon-intensity oil curtails their own. Our findings have implications for understanding how climate policy affects public attitudes, distributional politics, and regionalism in the energy transition.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.678

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 head0.007
GPT teacher head0.245
Teacher spread0.237 · 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