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Record W2892454506 · doi:10.1080/13501763.2018.1526204

Neofunctionalism and EU external policy integration: the case of capacity building in support of security and development (CBSD)

2018· article· en· W2892454506 on OpenAlexfundno aff
Julian Bergmann

Bibliographic record

VenueJournal of European Public Policy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
FundersDeutsches Institut für EntwicklungspolitikEuropean CommissionCanadian Patient Safety Institute
KeywordsFraming (construction)CommissionSpillover effectSecurity policyEuropean commissionEconomic systemSociologyPolitical sciencePublic administrationPolitical economyEconomicsInternational tradeEuropean unionComputer scienceComputer securityLawEngineeringCivil engineeringMicroeconomics

Abstract

fetched live from OpenAlex

Under the umbrella of Capacity Building in Support of Security and Development (CBSD), the EU provides equipment and infrastructure to the armed forces of partner countries. The 2017 reform of the Instrument contributing to Stability and Peace (IcSP) to implement CBSD represents a remarkable integrative step at the interface of EU security and development policy. This article explains the IcSP reform through a neofunctionalist lens. It argues that the extension of the Commission’s competences in EU security affairs can be explained by the interaction of functional and cultivated spillover pressures. Functional discrepancies between the CSDP framework and EU development policy created strong pressures for further integrative steps. Moreover, the Commission exerted strong pressures for adopting its proposal for implementing CBSD through the IcSP by drawing on a combination of strategic coalition-building, bargaining tactics and community framing. The case illustrates neofunctionalism’s potential to explain external policy integration.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.048
GPT teacher head0.321
Teacher spread0.273 · 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 designTheoretical or conceptual
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

Citations42
Published2018
Admission routes1
Has abstractyes

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