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Record W7161786100 · doi:10.82308/50669

Unraveling the legal standard applicable to cartels: a comparative study of European and North American antitrust

2009· dissertation· en· W7161786100 on OpenAlexaboutno aff
Romain Rard

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsConcurrenceTreatyEuropean unionTransparency (behavior)

Abstract

fetched live from OpenAlex

En droit de la concurrence, les normes de preuve sont rattachées au fond du droit ou à la procédure. Cette dichotomie restreint l'analyse juridique : elle isole des aspects inséparables du standard juridique, point de référence essentiel pour les entreprises car il détermine les éléments nécessaires à une qualification d'entente. Ce mémoire compare le standard juridique applicable aux ententes aux Etats-Unis, au Canada et dans l'Union Européenne. On y démontre que le standard permet aux juges de contribuer à une politique de concurrence toujours plus influencée par la science économique. Sont alors en jeu l'efficacité de l'application du droit et l'équité juridique. Dans le cadre de la mondialisation, cela incite à l'amélioration et à la convergence des standards : les Etats-Unis doivent remédier au manque de sécurité juridique croissant ; le Canada doit renforcer l'efficacité du droit de la concurrence ; l'Union Européenne devrait clarifier la norme de la preuve.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.262
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2009
Admission routes1
Has abstractyes

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