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Record W2948950930 · doi:10.15173/glj.v10i2.3979

Explanations for the Current Crisis in Venezuela: A Clash of Paradigms and Narratives

2019· article· en· W2948950930 on OpenAlexvenueno aff
Steve Ellner

Bibliographic record

VenueGlobal Labour Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHistory and Politics in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeCurrent (fluid)Political scienceEconomicsPhilosophyLinguisticsOceanographyGeology

Abstract

fetched live from OpenAlex

Various developments at the outset of Nicolás Maduro's presidency set the stage for what has been called a "humanitarian crisis", consisting of hyperinflation, a sharp decline in national income, massive emigration, and acute political conflict and disorder.When Hugo Chávez went off to Cuba for the last time to seek cancer treatment in late 2012, Maduro as vice-president took charge of the government.During those months of political uncertainty, the exchange-control system that guided the nation's imports became largely non-functional as the black-market price for the dollar began to spiral out of control.The resultant inflation reached an estimated 150 000 per cent by 2018 and cut into purchasing power as wages failed to catch up.A second early development that signalled acute conflict and instability was the refusal of the opposition and the United States (US) government to recognise Maduro's triumph in the presidential elections following Chávez's death in March 2013.The increasingly hostile position of both these actors toward the Venezuelan government culminated in 2019 with the formation, in defiance of Maduro, of a parallel government headed by National Assembly president Juan Guaidó and its immediate recognition by Washington.Another problematic characteristic of the Maduro presidency that manifested itself at the start was his tendency to refrain from taking difficult but necessary measures and acting boldly and decisively to face pressing problems.Thus Maduro failed to act on charges, formulated by former insiders in 2014, that the nation had been bilked of twenty billion dollars through the manipulation of the exchange-control system, even though the president recognised the possible veracity of the accusation.Indeed, the increasing disparity between the official price that the government charged those whose request for dollars from the state was approved (in accordance with the exchangecontrol system) and the black-market price for dollars lent itself to corruption.As the disparity increased, so did the damage caused by Maduro's failure to modify or scrap the exchange-control system.In addition, in response to severe economic and political difficulties in mid-2014, Maduro promised a cabinet shakeup (what he called el gran sacudón), creating great expectations.Not only did he put off making the announcement for over a month, but he retained most of the key members of his administration.Finally, little over a year after Maduro assumed the presidency, international oil prices plummeted while Venezuela's oil output also declined significantly.Subsequently, oil prices began to recover but failed to come close to their pre-2014 levels, while production continued to decrease, partly as a result of US sanctions imposed on the state oil company, PDVSA.These developments -involving foreign intervention, leadership capacity, international oil prices and the exchange-control system -have given rise to diverse opinions regarding the root cause of the Venezuelan crisis.Different theories put the blame on different actors -either Maduro and those surrounding him, or the Venezuelan opposition and the US government, or Washington alone.The fact that each of these problems dates back to the beginning of the Maduro government, if not before, confuses the effort to determine which one came first and could thus be considered

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.015
Scholarly communication0.0080.007
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.000

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 head0.020
GPT teacher head0.359
Teacher spread0.338 · 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

Citations7
Published2019
Admission routes1
Has abstractno

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