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Record W2521412119 · doi:10.1177/201395251600700206

Evolutions in the Social Case Law of the Court of Justice

2016· article· en· W2521412119 on OpenAlexaboutno aff
Pieter Peonovsky

Bibliographic record

VenueEuropean Labour Law Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLawSocial rightsAusterityFundamental rightsHuman rightsPolitics

Abstract

fetched live from OpenAlex

The Court of Justice's social reputation was a cause for concern after the infamous Viking and Laval cases in 2007, leading to condemnations by the Committee of Expert of the ILO and the European Committee of Social Rights. 1 Its judgments in Rüffert and Commission v. Luxembourg in 2008 only worsened criticism from trade unions and many academic scholars of social law, social policy or industrial relations. However a certain evolution could have an impact on the Court's reasoning. In 2009 the EU Charter of Fundamental Rights entered into the primary legal order of the EU, highlighting, i.a., the recognition of the right to collective bargaining and collective action as fundamental social rights in Europe. Furthermore, there is the close connection between the EU Charter and the European Convention on Human Rights. The EU itself also faced (and still faces) criticism for the many austerity measures it recommended through economic governance to combat the economic and financial crisis. Consequently, 2015 seems to be a year of a subtle change or evolution in the internal market v. social protection reasoning of the CJEU. In the cases of ESA and RegiopPost the Court took a somewhat more social-friendly approach, which could herald a more balanced case law for the future.

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)0.065
metaresearch head score (Gemma)0.100
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 score0.065
Threshold uncertainty score0.345

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.100
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0110.064
Scholarly communication0.0230.017
Open science0.0040.009
Research integrity0.0180.024
Insufficient payload (model declined to judge)0.0040.001

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 head0.043
GPT teacher head0.317
Teacher spread0.275 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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