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Record W1504669761 · doi:10.54648/cola2008093

The Court of Justice and the social market economy: The emergence of an ideal and the conditions for its realization

2008· article· en· W1504669761 on OpenAlexaboutno aff
Loïc Azoulai

Bibliographic record

VenueCommon Market Law Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeal (ethics)European Union lawDirectiveLaw and economicsTreatyLawAction (physics)Treaty of RomeEconomicsPolitical scienceEconomic JusticeSociologyEconomic systemEuropean integrationEuropean unionInternational trade

Abstract

fetched live from OpenAlex

The reference to “social market economy” introduced in the Lisbon Treaty seems to fit with the political theory guiding the Court of Justice in its recent decisions in Viking and Laval . Through these judgments, the Court promotes the ideal of a European Community which integrates not only in economic but also in social terms. The article discusses the practical ways and the legal means by which it realizes this ideal. First, the Court first has to make clear the relevance of EC internal market law in the field of collective labour action (industrial action). The Court uses both the Directive on posted workers and the Treaty–based rights to economic freedom. Second, the Court has to reconcile market and social elements of the European integration. It uses a model of balancing of economic and social objectives. However, at both these two stages, difficulties arise.

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)0.022
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0150.078
Scholarly communication0.0240.015
Open science0.0020.007
Research integrity0.0210.015
Insufficient payload (model declined to judge)0.0050.001

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 head0.048
GPT teacher head0.356
Teacher spread0.307 · 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 designNot applicable
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

Citations166
Published2008
Admission routes1
Has abstractyes

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