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Record W2599736836 · doi:10.54648/eerr2006032

The EU’s Joint Actions on Anti-personnel Mines and Unexploded Ordnance: Finding a Security Policy Identity

2006· article· en· W2599736836 on OpenAlexaboutno aff
Robert Dover

Bibliographic record

VenueEuropean Foreign Affairs Review · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsUnexploded ordnanceJoint (building)Identity (music)Political scienceBorder SecurityPublic administrationComputer securityLawEngineeringCivil engineeringComputer science

Abstract

fetched live from OpenAlex

Through the empirical lens of the EU’s Joint Actions and policies on landmines and unexploded ordinance this article seeks to draw wider conclusions about the nature and focus of the EU’s Common Foreign and Security Policy and the EU’s security identity. This research suggests that the EU has found a niche soft-security role in international affairs that is driven by an agreed set of normative assumptions. Further, this article explores the structural position of the EU in relation to the Ottawa Treaty. It suggests that because the EU does not have a state-like identity in foreign and security policy spheres it is at the whim of member governments advancing narrow national interests. However, the evidence from this case study demonstrates that the EU does have the ability to be an effective security actor in its own right.

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)0.009
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: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.024
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0030.002
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 head0.046
GPT teacher head0.322
Teacher spread0.277 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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Same venueEuropean Foreign Affairs ReviewSame topicInternational Law and Human RightsFrench-language works237,207