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Record W2902290523 · doi:10.1111/lamp.12152

The Pacific in Chile’s Foreign Policy: A Tool to Reinforce Open Regionalism

2018· article· en· W2902290523 on OpenAlexaboutno aff
Lorena Oyarzún Serrano

Bibliographic record

VenueLatin American Policy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsRegionalism (politics)International tradeAllianceProtectionismPolitical scienceSoft powerChinaMultilateralismFree tradeEconomyBusinessEconomicsPolitics

Abstract

fetched live from OpenAlex

The reconfiguration of power hierarchies has transformed the Pacific Rim, mainly China, into one of the most‐dynamic and fastest‐growing regions. In line and consistent with its international‐insertion strategy based on open regionalism, Chile has developed commercial links with Pacific countries, including the United States, China, Japan, South Korea, Australia, Canada, and Vietnam. It also participates fully in the Pacific Alliance—a regional cooperation mechanism that includes Colombia, Mexico, and Peru, and whose objective is to promote the development of its members while expanding and consolidating ties to the Pacific. In this article, I analyze the meaning of “The Pacific” from a historical perspective, and of the Pacific Alliance, focusing on Chile’s foreign policy. I argue that “The Pacific” is a strategic construct created to strengthen the opening, diversification, and economic liberalization of the country. In the commercial sphere, it becomes a soft‐balancing mechanism in response to protectionist ideas. In this argumentative line, and in the face of an uncertain commercial scenario, the Pacific Alliance is also a useful platform to defend the idea that free trade strengthens collective economic security.

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)0.004
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 score0.020
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.012
Scholarly communication0.0070.005
Open science0.0010.007
Research integrity0.0020.003
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 head0.022
GPT teacher head0.384
Teacher spread0.362 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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