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Record W3180263984 · doi:10.33067/se.2.2021.2

“A Europe of Homelands or Homeland Europe” – Contemporary Limitations of the Idea of the Federalisation of the European Union

2021· article· en· W3180263984 on OpenAlexvenueno aff
Natalia Sienko

Bibliographic record

VenueStudia Europejskie - Studies in European Affairs · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionHomelandEuropean integrationNarrativeMember statesPolitical scienceField (mathematics)Process (computing)SociologyLawInternational tradeEconomicsLinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

In this article, the author touches on the evolution of the European integration process, trying to capture the essence of the idea of federalisation on the way to the creation of the European Union. The theoretical narrative within federal thoughts is complemented by contemporary limitations both in the formal acceptance of the idea of federalisation of the European Union and in the informal “pole organizing the imagination” as mentioned by T. Mazowiecki. The main narrative, therefore, concerns the division of the field of EU integration between the analysis of structural limitations of the idea of federalisation of the European Union, including the system and jurisdictions of nation states, as well as ideational limitations, individual approach of the Member States to the integration process or the electoral success of Eurosceptics.

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)0.006
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.037
Scholarly communication0.0110.011
Open science0.0010.005
Research integrity0.0030.005
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 head0.128
GPT teacher head0.319
Teacher spread0.192 · 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
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

Citations1
Published2021
Admission routes1
Has abstractyes

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