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Record W2955781522 · doi:10.7454/global.v21i1.349

CELAC: Mexican Foreign Policy Interest on Latin American and Caribbean Regionalism

2019· article· en· W2955781522 on OpenAlexaboutno aff
Demeiati Nur Kusumaningrum

Bibliographic record

VenueGlobal Jurnal Politik Internasional · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansRegionalism (politics)Political scienceForeign policyLegitimacyGovernment (linguistics)PoliticsEuropean unionState (computer science)EconomyPolitical economyInternational tradeSociologyEconomicsLawDemocracy

Abstract

fetched live from OpenAlex

La Comunidad de Estados Latinoamericanos y Caribeños (CELAC) was initiated in 2011 as a forum for dialogue and consensus between Latin American and Caribbean governments where it forms a trading block that excludes the United States and Canada. The US objected to the establishment of CELAC which seemed to challenges the former regional organization (OAS). This paper aims to analyze the considerations of the Mexican government to join CELAC in the midst of mutual agreement with US and NAFTA. Theory of formulation of foreign policy is used to answer the sources of political consideration of the Mexican government. It is a qualitative descriptive research that used primary data comes from Mexican government reports, content of CELAC official website, and journals. Data is obtained from library research. The analysis technique is carried out through generalization of the evidence and organization of the data so that it presents a coherent and consistent picture in proving the basic assumptions of the theory. It examines determinant of Mexico foreign policy formulation include 1) expansion of FTA in order to raise national economy, 2) maintaining the legitimacy of the government through multilateral cooperation, 3) identity politics as a Latin American, 4) increasing state performance in dealing with eradication of drugs and immigrant problems, 5) state economic revival post 2008 global crisis, 6) CELAC as a bridge to expand bi-regional trade with the European Union, and 7) forum to balance US dominant interest in the region.

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)0.003
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: none
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.024
GPT teacher head0.346
Teacher spread0.322 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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