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Record W378522760

The EU in the global political economy

2009· book· en· W378522760 on OpenAlexaboutno aff
Finn Laursen

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionBilateralismPolitical scienceMultilateralismTransatlantic relationsEconomyInternational tradeEuropean integrationBRICPoliticsForeign policyEconomicsChinaLaw
DOInot available

Abstract

fetched live from OpenAlex

Contents: Finn Laursen: The EU in the Global Political Economy. Overview of Institutions, Instruments and Relations - Amy Verdun: The EU as a Global Actor. The Role of EMU and the Euro - Antonis Antoniadis: The EU's Implied Competence to Conclude International Agreements after the Reform Treaty. Reformed Enough? - Rafael Leal-Arcas: The European Union and the BRIC Countries. Unilateralism, Bilateralism and Multilateralism - Christian Marfels/James Sawler: The Significance of EU Merger Policy in the Global Economy and the Persistence of the Criterion of Dominance - Declan Walsh: Is the United States Facing Competition from Europe? - Osvaldo Croci/Livianna Tossutti: Canada and the European Union. A Story of Unrequited Attraction - Jerome D. Davis: Natural Gas and EU Energy Security. Russian-EU 'Co-Dependency'? - Finn Laursen: The EU and Japan. What Happened to the Persistent Trade Deficit? - Jing Men: Building a Long-Term EU-China Partnership - Stephen Dearden: Delivering the EU's Development Policy. Policy Evolution and Administrative Reform - Yanna Gutierrez Franco/Jose Manuel Martinez Sierra: EU Environmental Cooperation with Developing Countries - Joaquin Roy: Spain Takes the Lead in EU Policy towards Cuba - Peter Abrahamson: European Union Influence on Central American Integration. The Case of the Coming Association Agreement - Colette Mazzucelli: E3 Diplomacy with Iran. Reaching the Limits of the European Union as a Global Actor.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.242
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.022
GPT teacher head0.234
Teacher spread0.212 · 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.

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

Citations38
Published2009
Admission routes1
Has abstractyes

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