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Record W2483973286 · doi:10.3726/978-3-653-05535-1

Multilateralism in Global Governance

2016· book· en· W2483973286 on OpenAlexaff
Assel Tutumlu, Gaye Güngör

Bibliographic record

VenuePeter Lang D eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsMultilateralismPolitical scienceCorporate governanceGlobal governanceBusinessLawPolitics

Abstract

fetched live from OpenAlex

The European Union’s (EU) commitment to multilateralism is enshrined in Article 21(1) of the Treaty on the European Union (TEU), which proclaims that the EU “shall promote multilateral solutions to common problems”. It is also reflected in numerous documents and treaties produced within the framework of EU external relations (Council of the European Union 2003; European Commission 2006 and 2014). This commitment might seem natural, the EU being a multilateral organization itself. However, this intuition that the EU – as an internally multilateral actor – should also display more commitment to multilateralism externally appears problematic. This chapter examines the articulation between this internal and external multilateralism of the EU in the case-law of the Court of Justice of the EU (CJEU). It asks the question whether the main tool of legal interpretation deployed by the Court – teleological interpretation – is inherently biased towards the internal or external perspective.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.014
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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