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Record W2076698251 · doi:10.1080/10803920.2011.552036

Euro-Atlantic and Eurasian Security in a Multipolar World

2011· article· en· W2076698251 on OpenAlexaboutno aff
Adrian Pabst

Bibliographic record

VenueAmerican Foreign Policy Interests · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHegemonyInternational tradeSecurity communityEuropean unionForeign policyChinaNational securityInternational securityPrismAutonomyEconomyPolitical economyPublic administrationBusinessEconomicsLawPolitics

Abstract

fetched live from OpenAlex

This article argues that the reorientation of United States foreign policy from Europe to Asia opens up new opportunities for a pan-European security community. Under President Obama's leadership, the United States is no longer looking at the world through a predominantly European prism. Washington is shifting focus from Europe to the Asian-Pacific “rimland” where America is competing with China for transregional hegemony. This shift in emphasis marks an unprecedented disengagement from Europe and European security since 1917. That puts the onus on Europe's key powers, including the European Union, Russia, and Turkey. The main options are either a European takeover of NATO or the creation of a Euro-Atlantic or even pan-Eurasian security community from Vancouver to Vladivostok. In turn, the three options for U.S. foreign policy are (1) to reassert total control over European security and undercut any independent initiatives; (2) to disengage from Europe; or (3) to facilitate European autonomy in security and defense matters in a way that secures U.S. participation in a new security community. Faced with the risk of military overstretch and ongoing economic turmoil, the third option seems best to serve American foreign policy interests.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.033
GPT teacher head0.337
Teacher spread0.304 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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