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Record W4306944690 · doi:10.1162/glep_a_00683

Phasing Out Fossil Fuels: Determinants of Production Cuts and Implications for an International Agreement

2022· article· en· W4306944690 on OpenAlex
Päivi Lujala, Philippe Le Billon, Nicolas Gaulin

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

VenueGlobal Environmental Politics · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsFossil fuelGreenhouse gasNatural resource economicsProduction (economics)Climate changeEconomicsEnvironmental scienceBusinessEcologyMacroeconomicsBiology

Abstract

fetched live from OpenAlex

Abstract Fossil fuel producers have a major role to play in curbing greenhouse gas emissions through supply-side initiatives. Yet, no study has systematically assessed the determinants of efforts to constrain fossil fuel production for climate purposes. To contribute to climate change mitigation efforts, this article develops a conceptual framework for factors potentially affecting country-level initiatives to keep fossil fuels in the ground. Using data for 124 countries with fossil fuel reserves for 2006–2019 and multivariate Poisson regression analysis, we identify factors influencing the use of such constraints by national governments. Results show that although dependence on fossil fuel rents reduces the likelihood of constraint measures, the size of fossil fuel reserves or production does not impact it. Richer countries are also more likely to use constraints. Organization of Petroleum Exporting Countries membership constitutes a barrier to having moratoria on fossil fuel extraction. These results can help identify potential members for new fossil fuel supply-side initiatives and coalitions.

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 score0.226
Threshold uncertainty score0.512

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 studies0.0000.000
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 head0.107
GPT teacher head0.304
Teacher spread0.197 · 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