MétaCan
Menu
Back to cohort
Record W7047156640

The European Union's evolving role in response to U.S. waning hegemony

2019· article· en· W7047156640 on OpenAlexaboutno aff

Bibliographic record

VenueArchive ouverte UNIGE (University of Geneva) · 2019
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonyFraming (construction)Foreign policyChinaDemocracyInternational relationsPolitics
DOInot available

Abstract

fetched live from OpenAlex

How do America's democratic allies perceive and respond to a relative decline in US power and influence and the simultaneous rise of China? Using the case-studies of Europe, the UK, Australia, Canada, Japan and South East Asian countries, this book offers a broad assessment of the perceptions of threat and the strategies used by these allies to cope with the relative decline of America's hegemonic power, the rise of China and the transforming world order. In answering these central questions, contributors focus on two complementary analytical approaches. The first examines the perceptions of systemic changes by America's allies: how are US allies framing this issue and what kind of political discourse is emerging with regards to it? The second approach focuses on the concrete foreign policy and defence strategies put forward by these allies. The book explores the extent to which US allies are willing to support US hegemony and considers the democratic allies' understanding of the international structure, their relations to the United States, and their own aspirations in this changing world order. This book will be of interest to general readers as well as scholars and students of US foreign policy, foreign policy analysis and International Relations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.003
GPT teacher head0.156
Teacher spread0.153 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueArchive ouverte UNIGE (University of Geneva)Same topicMagnetic Field Sensors TechniquesFrench-language works237,207