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Record W3211698268 · doi:10.3917/inso.203.0096

Promouvoir l’Europe sociale par le droit et la justice : l’action de la Confédération européenne des syndicats et ses évolutions

2021· article· fr· W3211698268 on OpenAlexaboutno aff
Julien Louis

Bibliographic record

VenueInformations sociales · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article analyse l’action juridique et judiciaire de la Confédération européenne des syndicats (CES), en revenant sur la construction de ce mode d’action et ses effets sur l’Europe sociale. Il met d’abord en évidence le désintérêt du syndicalisme européen pour les questions juridiques lors des premières années de la construction européenne, où la revendication du plein-emploi prime sur l’élaboration d’une législation sociale européenne. L’article montre ensuite que le « moment Delors » correspond à l’inscription du droit dans les pratiques et les objectifs de la CES, avec la mise en place du dialogue social européen et l’adoption de plusieurs directives sociales. Enfin, il étudie les usages syndicaux de la justice européenne à la suite d’une mobilisation judiciaire fondatrice auprès de la Cour de Justice de l’Union européenne (CJUE), les affaires « Viking » et « Laval » (années 2000-2010), tout en soulignant l’intérêt renouvelé de la CES pour l’Organisation internationale du travail et le Conseil de l’Europe à la suite de ces affaires.

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)0.007
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.016
Scholarly communication0.0120.006
Open science0.0010.009
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.063
GPT teacher head0.358
Teacher spread0.295 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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