MétaCan
Menu
Back to cohort
Record W2021524680 · doi:10.1177/0010836706063659

Social Representations in the European Security and Defence Policy

2006· article· en· W2021524680 on OpenAlexaff
Frédéric Mérand

Bibliographic record

VenueCooperation and Conflict · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversité de MontréalGlobal Affairs Canada
Fundersnot available
KeywordsInstitutionPolitical scienceState (computer science)Foreign policyInternational securitySocial institutionProduct (mathematics)Social securityCritical security studiesPublic administrationPublic relationsPolitical economySociologyPoliticsSocial scienceNetwork security policyLaw

Abstract

fetched live from OpenAlex

Why are international institutions designed in one way and not another? Using the European security and defence policy (ESDP) as a case study, this article suggests that the social representations dominating the national and organizational world of institution-makers are key to our understanding the shape and content of an emerging institution of international security cooperation.A focus on social representations, which are the product of institutional practices, helps to break the interest/idea dichotomy that underpins most theories of preference formation when they try to explain institutional designs.This article shows that foreign and defence policy-makers from France, Germany and the United Kingdom have shaped ESDP by projecting their respective social representations, notably with regard to the role of the state, the nature of security challenges and the purpose of their organization.

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)0.016
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.034
Scholarly communication0.0150.006
Open science0.0010.007
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 head0.029
GPT teacher head0.355
Teacher spread0.326 · 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

Citations70
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueCooperation and ConflictSame topicPeacebuilding and International SecurityFrench-language works237,207