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Record W4312987380 · doi:10.31857/s2686673022080077

The U.S. Policy towards Southeast Asia: from Barack Obama to Joe Biden

2022· article· en· W4312987380 on OpenAlexaff

Bibliographic record

VenueUSA & Canada Economics – Politics – Culture · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsInstitute for Christian Studies
Fundersnot available
KeywordsGeopoliticsChinaSoutheast Asian studiesSoutheast asiaPolitical scienceInvestment (military)Power (physics)Great powerEconomic growthDevelopment economicsEconomyInternational tradePoliticsEconomicsSociologyEthnology

Abstract

fetched live from OpenAlex

The Southeast Asia region is of great geopolitical, economic and strategic importance for both Asia-Pacific region and worldwide. It also plays its part in the confrontation between the US and China, where each power seeks to strengthen its influence. The PRC boasts being geographically close having deep historical and cultural ties with the Southeast Asian countries, and actively interacts with Southeast Asia in trade and investment. The US is also actively investing and maintains close security ties with the region. Understanding the importance of building partnerships with Southeast Asian countries, each American administration in the 21st century sought to offer its own approach to interaction with this region. The article examines the policy of three administrations: B. Obama, D. Trump and J. Biden. The author concludes that over time, the United States is increasingly focusing on confrontation with China and does not consider interaction with Southeast Asia as an end in itself. Countries such as Vietnam and the Philippines have the potential to significantly strengthen their relationship with the United States.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.238
Teacher spread0.227 · 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 teacher head, not a consensus.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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