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Record W1497257453 · doi:10.54648/cola2012036

Administrative enforcement, judicial review and fundamental rights in EU competition law: A comparative contextual-functionalist perspective

2012· article· en· W1497257453 on OpenAlexaboutno aff
Renato Nazzini

Bibliographic record

VenueCommon Market Law Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceJudicial reviewLawJudicial independenceEnforcementLegislatureLaw and economicsImpartialityAdministrative lawDutyCommon lawConstitutional lawCompetition lawEconomicsSupreme courtMonopoly

Abstract

fetched live from OpenAlex

This article examines whether the current institutional framework for the enforcement of EU competition law under Regulation 1/2003 is compatible with the principle of effective judicial protection. This question is answered by developing a test which takes into account, in a structured way, all the contextual factors of the case in the light of the objective pursued by the Legislature in enacting a given enforcement system. Comparative analysis of United States and Canadian constitutional law provides key insights for the development of such a test. This article concludes that the current system under Regulation 1/2003 is unconstitutional insofar as judicial review of Commission decisions by the EU courts is deferential. However, while the current trend is to move to a correctness standard of review across the board, a system in which a competition authority with sufficient safeguards of independence and impartiality of the decision-maker is subject to deferential judicial review in appropriately defined matters is more in line with the institutional balance between the European Commission and the EU courts envisaged by the EU Treaties and Regulation 1/2003, has advantages as a matter of policy over a system in which a court has the duty to review the merits of a first instance administrative decision, and would be compatible with the constitutional standards in force in leading common law systems such as the United States and Canada.

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)0.023
metaresearch head score (Gemma)0.029
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 score0.023
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.029
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0050.042
Scholarly communication0.0140.009
Open science0.0020.004
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.096
GPT teacher head0.404
Teacher spread0.308 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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