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Record W3160729184 · doi:10.18778/0208-6069.94.07

The Centre–Periphery Antagonism in Adjudication: A Case Study on the Spatial Dimension of the Political

2021· article· en· W3160729184 on OpenAlexaboutno aff
Rafał Mańko

Bibliographic record

VenueActa Universitatis Lodziensis Folia Iuridica · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAdjudicationPoliticsAntagonismJurisprudencePolitical scienceSociologyLaw and economicsLaw

Abstract

fetched live from OpenAlex

One of the key elements of the critical theory of adjudication is the identification of an objective antagonism that is at stake behind a given court case. The identification of the antagonism allows to develop an axis, along which interpretive possibilities can be spread and arranged from those most favourable to social group A (e.g. workers) to that most favourable to social group B (e.g. businesses). The paper discusses the famous Laval–Viking case-law which was concerned with the fundamental rights of workers (right to strike and undertake collective action) and their relation to the economic freedoms of businesses, seeking to escape the high standards of worker protection in their own country either by changing the flag of a ship to a flag of convenience (Viking) or by importing cheap labour force from abroad, without guaranteeing the workers equal rights (Laval). Whereas the vast majority of scholars have interpreted the Viking–Laval jurisprudence as relating to the fundamental socio-economic antagonism opposing workers and businesses, the Slovenian scholar Damjan Kukovec has proposed an alternative reading. According to him, the real antagonism is ultimately between workers from the periphery (Central Europe, in casu Baltic countries) and workers from the centre (Western Europe, in casu Scandinavian countries). By introducing the spatial dimension to the political, Kukovec entirely changes the formulation of the underlying antagonism. The paper engages critically with Kukovec’s analysis and argues that the objective interest of Central European workers lies not in selling their labour at dumping prices, but gaining the same guarantees of social protection as existing in the West.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.272
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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