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Record W1538557390 · doi:10.24908/fg.v10i2.4536

Subsidiarity between Economic Freedom and Harmonized Regulation: Is there an Optimal Degree of European Integration?

2013· article· en· W1538557390 on OpenAlexvenueno aff
Michael Gilroy, Heike Schreckenberg, Volker Seiler

Bibliographic record

VenueFederal Governance · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidiarityEuropean unionEuropean integrationDecentralizationEconomic integrationEconomicsEconomic systemPolitical scienceLaw and economicsInternational tradeLaw

Abstract

fetched live from OpenAlex

According to the European Union's (EU's) principle of subsidiarity, responsibilities of any kind should always be allocated to the lowest level possible. When applying this to the EU's economic union, one might assume that the decentralization of trading structures as well as the ensuring of national economic freedoms are basic necessities for a reliable implementation of the concept of subsidiarity. Nevertheless, with view to the sustained enlargement of the European Single Market, it seems that the centralization of trading structures has not lost its attractiveness yet. The permanent progress in European trade integration raises the important question whether there may be some optimal degree of economic integration in the sense of subsidiarity and, if so, how this optimal level of integration might be determined. Answers to this burning issue will be of fundamental importance for future European policy making. As long as it is not clear-cut whether the principle of subsidiarity is of an integrationist or a more anti-integrationist nature regarding deeper trade integration, an adequate implementation of the subsidiarity principle appears impossible for policymakers at both the national and the European level.

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)0.019
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 score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.027
Scholarly communication0.0110.014
Open science0.0010.010
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.231
Teacher spread0.200 · 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
Published2013
Admission routes1
Has abstractyes

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