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Record W4283377678 · doi:10.1080/09644016.2022.2090388

Climate action and populism of the left in Ecuador

2022· article· en· W4283377678 on OpenAlex
Teresa Kramarz, Donald Kingsbury

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

VenueEnvironmental Politics · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPopulismLatin AmericansPolitical economyPoliticsAction (physics)PopulationNegotiationPower (physics)Space (punctuation)Political scienceDevelopment economicsEconomicsSociologyLaw

Abstract

fetched live from OpenAlex

There is little reason to expect developing countries to take costly local actions for global climate benefits. This is less so when populist governments of the left – who claim to speak for the poorest sectors of the population – must negotiate environmental protection and development. This article examines climate action in Ecuador, one of the poorest countries of Latin America, during a populist moment. We propose an analytical framework that explains how moments of institutional rupture create space to articulate ideational and material interests towards climate action. We explore this by analyzing an initiative that would have left oil underground in exchange for compensation by the international community. Beyond the rise of significant personalities, populist moments signal a rupture where power relations, norms, and development trajectories can be reconfigured. Populists are political entrepreneurs who articulate these conditions for personal gain, but populist moments also reveal space for climate action.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.998

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.204
Teacher spread0.195 · 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