MétaCan
Menu
Back to cohort
Record W2988437462 · doi:10.5771/9783845239385_125

Unity in Diversity as Europes Vocation and Conflicts Law as Europes Constitutional Form

2014· book-chapter· en· W2988437462 on OpenAlexaboutno aff
Christian Joerges

Bibliographic record

VenueNomos eBooks · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDiscrimination and Equality Law
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceDiversity (politics)Corporate governanceHumanitiesLawPhilosophyManagementEconomics

Abstract

fetched live from OpenAlex

Unity in Diversity was the fortunate motto of the otherwise unfortunate Draft Constitutional Treaty. The motto did not make it into the Treaty of Lisbon. It deserves to be kept alive in a new constitutional perspective, namely the re-conceptualisation of European law as new type of conflicts law. The new type of conflicts law which the paper advocates is not concerned with selecting the proper legal system in cases with connections to various jurisdictions. It is instead meant to respond to the increasing interdependence of formerly more autonomous legal orders and to the democracy failure of constitutional states which result from the external effects of their laws and legal decisions on non-nationals. European has many means to compensate these shortcomings. It can derive its legitimacy from that compensatory potential without developing federal aspirations. The paper illustrates this approach with the help of two topical examples. The first is the conflict between European economic freedoms and national industrial relations (collective labour) law. The recent jurisprudence of the ECJ in Viking, Laval, and Rffert in which the Court established the supremacy of the freedoms over national labour law is criticised as a counter-productive deepening of Europe's constitutional asymmetry and its social deficit. The second example from environmental law concerns the conflict between Austria and the Czech Republic over the Temelin nuclear power pant. The paper criticises the reasoning of the ECJ, but does not suggest an alternative outcome to the one the Court has reached.

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)0.007
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.056
Scholarly communication0.0240.014
Open science0.0010.015
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.077
GPT teacher head0.309
Teacher spread0.232 · 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
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

Citations7
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueNomos eBooksSame topicDiscrimination and Equality LawFrench-language works237,207