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Record W3178135089 · doi:10.1080/14747731.2021.1945394

The Pacific Alliance: regional integration as neoliberal discipline

2021· article· en· W3178135089 on OpenAlexaff
Marcel Nelson

Bibliographic record

VenueGlobalizations · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsSheridan College
Fundersnot available
KeywordsTechnocracyAllianceNeoliberalism (international relations)State (computer science)Political sciencePoliticsRegional integrationPolitical economyEconomic systemSociologyEconomicsInternational trade

Abstract

fetched live from OpenAlex

This article examines how the Pacific Alliance constitutes a multilevel state project to lock-in neoliberal reforms in each member country. Using a strategic relational approach to institutions that emphasizes the interconnection between institutional and social dynamics, it demonstrates that the AP is a state project that is both a regional market access strategy and a domestic disciplinary mechanism. Notably, it represents an attempt to reinforce the neoliberal economic export models that predominate in each member country: Chile, Mexico, Peru, and Colombia. Buttressed by dominant domestic and transnational social forces in each country, technocrats in each member countries seek to reproduce institutional strategies of depoliticization that were successfully employed in their countries at a regional level in the AP in view of growing political instability and discontentment with neoliberalism.

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)0.003
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.013
Scholarly communication0.0080.005
Open science0.0010.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.357
Teacher spread0.337 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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