MétaCan
Menu
Back to cohort
Record W3164635186

Ordoliberalism in European Competition Policy: The Logic of Democratic Capitalism in Talbot’s Essay

2016· article· en· W3164635186 on OpenAlexaboutno aff
Raju Parakkal

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionCapitalismNexus (standard)Competition (biology)PoliticsDemocracyPolitical sciencePolitical economyEuropean integrationCompetition lawEconomic systemEconomicsMarket economyInternational tradeLawMonopoly
DOInot available

Abstract

fetched live from OpenAlex

Similar to the two North American countries — Canada and the United States — the European Union has a fairly long history with the adoption and administering of their competition law. The heterogeneity characterizing the European Union, however, meant that the European competition law had to be designed and delivered in a manner that was sensitive to the political economy demands of its constituent nations, the principles of market competition, and the intricacies of the ‘‘European project.’’ Conor Talbot’s article, ‘‘Ordoliberalism and Balancing Competition Goals in the Development of the European Union,’’ examines the role that the European competition policies played in the development of the European project and its associated economic, social, and political goals during the post–World War II period. The article focuses on how the European competition policies complemented the democratic and capitalistic ideals of the emerging European integration. In the process, the article contributes to our understanding of the evolving nexus between capitalism, democracy, and competition laws in the European political economy.

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)0.006
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.022
Scholarly communication0.0090.007
Open science0.0010.004
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.272
Teacher spread0.260 · 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
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicEuropean Union Policy and GovernanceFrench-language works237,207