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The “Pivot to Asia”: AUKUS in the Perception of American Politicum

2024· article· en· W4399810313 on OpenAlexaboutno aff
Y. Golub, S. Shenin

Bibliographic record

VenueWorld Economy and International Relations · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPolitical science

Abstract

fetched live from OpenAlex

The article is devoted to forecasting the ways of further evolution of the Western partnership called AUKUS, taking into account the geopolitical plans of J. Biden administration, and based on an analysis of the approaches of the most influential groups among the American political elite to the project. In the context of the American strategy “Pivot to Asia”, differences in views of these groups on the content of AUKUS and its prospects are shown. Special attention is paid to the study of the American experts’ and politicians’ ideas about the potential of using nuclear submarines in the Indo-Pacific region by Australia with regard to “containing” China, as well as technological cooperation between the partnership member countries in order to expand a common industrial base. While the Conservative Republicans believe that it is necessary to focus only on creating a fleet of submarines for Australia (the “first pillar”), Conservative Democrats and Moderate Republicans demand to concentrate exclusively on technological cooperation not merely of the three AUKUS countries (the “second pillar”), but also attracting other players to it – Japan, New Zealand, South Korea, Canada. Only the Centrist Democrats, who are the most loyal supporters of the administration, are confident that the alliance countries will be able to “pull through” the implementation of both “pillars” of the project. The authors underscore that the coalition of the “second pillar” looks preferable today. It is concluded that the radical divergence of the elite groups’ views makes the future fate of the AUKUS quite uncertain, and the partnership can acquire different configurations depending on the balance of forces within the U.S. political establishment.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.012
Scholarly communication0.0100.005
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.248
Teacher spread0.228 · 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 designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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