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Record W4214853759 · doi:10.1080/14747731.2022.2032986

Broadened embedded autonomy and Latin America’s Pink Tide: towards the neo-developmental state

2022· article· en· W4214853759 on OpenAlexaff
Patrick Clark, Antulio Rosales

Bibliographic record

VenueGlobalizations · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsUniversity of New BrunswickYork University
Fundersnot available
KeywordsDevelopmentalismAutonomyLatin AmericansResource curseState (computer science)PoliticsDevelopmental stateResource (disambiguation)Agency (philosophy)DecentralizationPolitical scienceSociologyPolitical economySocial scienceLaw

Abstract

fetched live from OpenAlex

A central issue in the scholarly literature on the Latin American Pink Tide is the renewal of state-led development, or neo-developmentalism, and dependence on primary resources or the so-called resource curse. In this article, we consider the question of neo-developmentalism during the Pink Tide and state capacity, analyzing whether the three ‘radical’ Pink Tide governments in Ecuador, Venezuela, and Bolivia were able to achieve their respective neo-developmental political objectives. We employ a comparative approach building on the theory of ‘broadened embedded autonomy’ as conceptualized by Peter Evans. We argue that while reliance on resource extraction posed a challenge for the construction of state capacity for Pink Tide governments, national-level differences help explain why some governments were relatively more successful than others at inducing neo-developmentalism. A comparative approach focused on the politics of state-society thus provides a promising analytical framework for interpreting variations across cases.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.012
Scholarly communication0.0040.003
Open science0.0000.005
Research integrity0.0010.002
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 head0.029
GPT teacher head0.209
Teacher spread0.179 · 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 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

Citations16
Published2022
Admission routes1
Has abstractyes

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