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The futures of European labour law: (2) the European Court's agenda and<i>ordre communautaire social</i>

2009· book-chapter· en· W987335621 on OpenAlexaboutno aff
Brian Bercusson

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean court of justiceEuropean Union lawFutures contractPolitical scienceLawEconomic JusticeEuropean unionEconomicsEconomic policyFinancial economics

Abstract

fetched live from OpenAlex

Interventions by the European Court of Justice may have a critical impact on the future of European labour law. Thus, the decisions of the European Court of Justice in Viking and Laval were widely expected to be significant. In the event, they may precipitate a crisis for the European social model and for the EU itself. The institutional architecture of the European social model looks to the autonomous trade union movement as the backbone of Social Europe. As elaborated in this book, European labour law's fundamental principles and rights at both collective and individual level look to collective bargaining and collective action by trade unions and employers' organisations as the collective framework for individual employment protection. The European Union, a transnational European economy, like the national economies of the Member States, requires an economic balance of power between employers and workers. In the Member States, this balance is achieved, in part, through the collective action of trade unions and organisations of employers. The social partners at EU level have not achieved this balance of power. EU law on free movement transforms the balance of economic power in the EU. The freedom of enterprises to move throughout the single European market has shifted the balance of economic power towards employers. This is particularly evident in the overwhelming economic power of multinational enterprises, the magnitude of transnational capital movements, the social dumping effects of global trade, delocalisation, unemployment and deskilling.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.018
Scholarly communication0.0120.008
Open science0.0010.004
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.224
Teacher spread0.204 · 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
GenreReview

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

Citations0
Published2009
Admission routes1
Has abstractyes

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