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Record W1538122635 · doi:10.54648/eerr2010034

The EU as a ‘Strategic’ International Actor: Substantial and Analytical Ambiguities

2010· article· en· W1538122635 on OpenAlexaboutno aff
Heinz Krämer, Annegret Bendiek

Bibliographic record

VenueEuropean Foreign Affairs Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEuropean unionChinaPoliticsCorporate governanceInternational relationsGlobal strategyInternational tradeEconomyBusinessEconomicsLaw

Abstract

fetched live from OpenAlex

The analysis attempts to evaluate the current ‘strategic’ political substance of European Union (EU) global policies and to answer the question of what kind of international actor the EU is. The study is based on the reading of comprehensive analyses of the respective ‘strategies’ embedded in inter-regional relations with Latin America, Africa, the Mediterranean, East Asia, and Central Asia as well as ‘strategic partnerships’ with India, Japan, China, Canada and Brazil – the partners that, according to the European Security Strategy (ESS) of 2003, reaffirmed in 2008, are gaining increasing clout in shaping global governance.

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)0.020
metaresearch head score (Gemma)0.018
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 score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0040.023
Scholarly communication0.0190.016
Open science0.0020.005
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.313
Teacher spread0.284 · 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

Citations18
Published2010
Admission routes1
Has abstractyes

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