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Record W2044647504 · doi:10.2190/hs.43.3.j

Egalitarian Policies and Social Determinants of Health in Bolivarian Venezuela

2013· article· en· W2044647504 on OpenAlexaff
Joan Benach, María Páez Victor, Edwin Ng, Haejoo Chung

Bibliographic record

VenueInternational Journal of Health Services · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsLatin AmericansPoliticsDemocracyPolitical sciencePovertyIdeologyDevelopment economicsPolitical economySocial movementPopulationContext (archaeology)InequalityEconomic growthSociologyEconomicsLawGeography

Abstract

fetched live from OpenAlex

In 1999, newly-elected Venezuelan President Hugo Chávez initiated a far-reaching social movement as part of a political project known as the Bolivarian Revolution. Inspired by the democratic ideologies of Simón Bolívar, this movement was committed to reducing intractable inequalities that defined Venezuela's Fourth Republic (1958-1998). Given the ambitious scope of these reforms, Venezuela serves as an instructive example to understand the political context of social inequalities and population health. In this article, we provide a brief overview of the impact of egalitarian policies in Venezuela, stressing: (a) the socialist reforms and social class changes initiated by the Bolivarian Movement; (b) the impact of these reforms and changes on poverty and social determinants of health; (c) the sustainability of economic growth to continue pro-poor policies; and (d) the implications of egalitarian policies for other Latin American countries. The significance and implications of Chávez's achievements are now further underscored given his recent passing, leading one to ask whether political support for Bolivarianism will continue without its revolutionary leader.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.395
Teacher spread0.375 · 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 designNot applicable
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

Citations44
Published2013
Admission routes1
Has abstractyes

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