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Record W4382362314 · doi:10.1332/dcse5063

State capacity and the unplanned decline of Venezuela’s petro-state: reflections for sustainable transitions and the Green New Deal

2023· article· en· W4382362314 on OpenAlexafffund
Antulio Rosales, Patrick Clark

Bibliographic record

VenueGlobal Political Economy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPoliticsSustainabilityAutocracyState (computer science)Oil reservesConsolidation (business)EconomicsEconomyPolitical economyEconomic systemPolitical scienceDemocracyPetroleumEcology

Abstract

fetched live from OpenAlex

Venezuela has historically been one of the world’s largest oil producers and has the largest crude reserves. However, the country has experienced a dramatic political and economic crisis over the past decade that has decimated its oil industry. Venezuela’s production shrunk sharply in the past six years, oil exports have declined and the country is now a marginal producer in global markets. This crisis has taken place amid a process of autocratic political consolidation and the establishment of a predatory political economy. This article focuses on this crisis and interrogates to what extent it can pave the way to a sustainable move away from oil dependence in dialogue with recent debates on sustainable transition processes. Building on the intersections of Global Political Economy and environmental politics, we highlight the importance of interconnecting links across state, society and international actors in viable sustainability transitions, such as proposals for Green New Deal(s) in different national contexts. Our analysis of the Venezuelan case subsequently highlights the absence of these capacities. We argue that contemporary Venezuela underscores the risks and costs of post-oil energy transitions in rentier states. Contemporary Venezuela is thus a cautionary tale for resource-dependent economies that may also undergo post-oil transitions in the future due to shifting global conditions but likewise lack the necessary state capacity to respond and adapt.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.026
GPT teacher head0.333
Teacher spread0.307 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations9
Published2023
Admission routes2
Has abstractyes

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