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Record W4382133561 · doi:10.1017/glj.2023.42

Kahn in Luxembourg: A Prolegomena to the Cultural Study of EU Law

2023· article· en· W4382133561 on OpenAlexaboutno aff
Sabine Mair

Bibliographic record

VenueGerman Law Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
FundersUniversiteit van Amsterdam
KeywordsPolitical scienceLawEuropean unionSkepticismPoliticsComparative lawContext (archaeology)Rule of lawCommon lawIdentity (music)SociologyGeographyEpistemology

Abstract

fetched live from OpenAlex

Abstract In the context of growing anxieties regarding the place and role of law in the future of the Europe Union (EU), this article reflects upon the extent to which Paul Kahn’s cultural study of law’s rule could be relevant for the place and role of EU law in these respects. Drawing upon Kahn’s monograph Making the Case: The Art of the Judicial Opinion, this article analyses the Laval judgment for these purposes, as one of the most controversial cases ever decided by the Court of Justice of the European Union (CJEU). On this basis, the article shows how the cultural analysis of law advanced by Kahn can help us to sharpen our sensibilities with regard to the deeper layers of moral and political meaning that EU law expounds and to thereby enable us to expand our horizons as well as conversations on the socio-political and economic composition of EU law. Yet this article also raises skepticism about the cultural study of EU law’s rule. Given the diverse cultural idiosyncrasies and traditions by which citizens of EU Member States live, it questions whether EU law can be assessed from the point of view of a collective identity believed to best persuade EU citizens of the authority of EU law.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.035
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.370
Teacher spread0.326 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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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