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Record W4382724150 · doi:10.1017/elo.2023.18

Pushing the debate on Posted Workers beyond the EU’s Status Quo

2023· article· en· W4382724150 on OpenAlexaboutno aff
Aristel Skrbic

Bibliographic record

VenueEuropean Law Open · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsStatus quoPolitical scienceDemocracyEuropean unionDirectiveLawLaw and economicsDominance (genetics)SociologyPoliticsEconomics

Abstract

fetched live from OpenAlex

Abstract The debate on the posting of workers in the European Union (EU) shows no sign of resolution 15 years after the controversial Laval quartet of judgements by the ECJ. The majority view has it that the judgements gave social dumping the backing of EU law, thus undermining national achievements in the social sphere. From this perspective the 2018 Revised Posted Workers Directive is a step in the right direction. The critique from the periphery, on the other hand, alleges that what looks like social dumping from the centre amounts to equality of opportunity for workers of the periphery, thus seeing the judgements in a more ambiguous or even positive light. The Revised PWD is here seen as a reassertion of national dominance from the EU’s centre. In this paper I engage with Christodoulidis’s constitutional approach to this complex problem which he develops in The Redress of Law , arguing against his embrace of the majority position in Part 3 of his work while building on his radical democratic proposals from Part 4. From the latter’s perspective, both the majority view as well as the critique from the periphery are to be rejected, since the very opposition between the two options is inimical to workers’ rights in the EU. Radical democratic action is necessary to overcome this impasse, to open the space within which rights and interests of workers from across the Union can be properly protected and advanced.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.046
GPT teacher head0.330
Teacher spread0.284 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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