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Record W4251214854 · doi:10.22215/rera.v3i2.184

Addressing threats: European foreign policy toward the Middle East since the European Security Strategy

2007· article· en· W4251214854 on OpenAlexvenueno aff
Ruth Hanau Santini

Bibliographic record

VenueReview of European and Russian Affairs · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionForeign policyMiddle EastSecurity policyPolitical scienceTerrorismPolitical economyInternal securityCoherence (philosophical gambling strategy)Consistency (knowledge bases)State (computer science)Public administrationInternational tradeLawSociologyEconomicsPoliticsComputer security

Abstract

fetched live from OpenAlex

This paper looks at the qualitative change in the foreign policy discourse by the European Union towards the Middle East, as well as the EU’s overall degree of consistency between words and deeds. By looking at European Council Conclusions as well as General Affairs Council conclusions, it will be argued that on a discursive level the Union has taken stock of the emergence of new threats to its security, and has started shifting its attention from state failure and regional conflicts to the threats posed by terrorism and non-conventional proliferation. Secondly, by differentiating among three kinds of coherence, it will be shown that the main source of incoherence in the Union external action in the Middle East is not to be found in its institutional or horizontal dimensions, but in its vertical level, that is between the Union and member states. Examples will be provided in order to substantiate an overall claim: the EU security discourse might have changed; its policies however remain driven by the difficult balancing exercise between Brussels and national capitals.

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)0.007
metaresearch head score (Gemma)0.004
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 score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.003
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.104
GPT teacher head0.334
Teacher spread0.230 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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