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Record W2264266593

Talking 'Bout My Antitrust Generation

2004· article· fr· W2264266593 on OpenAlexaff
Fred S. McChesney

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsEnforcementCompetition (biology)Consent decreeLaw and economicsPoliticsCompetition lawEconomicsState (computer science)Rule of reasonPolitical scienceLawMarket economyMonopolySupreme court
DOInot available

Abstract

fetched live from OpenAlex

The past generation of antitrust has witnessed much intellectual competition among economists and competition-minded jurists as to what that body of law is supposed to do. The current antitrust generation has seen a pronounced shift in favor of the economic view of antitrust's role, to the diminution of any political or social objectives once thought to be important antitrust goals. Nonetheless, three developments over the past generation deleteriously separate antitrust law from economics. Antitrust suits sometimes interfere with private attempts to manage the commons. States' insistence on being involved in antitrust enforcement frequently results in harmful suits that make no economic sense. So does European enforcement of its own antitrust rules. The desires of both foreign enforcers and state attorneys general to assume larger roles on the global antitrust stage are particularly worth watching. How those issues are resolved in the next antitrust generation will extremely important.

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)0.019
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0110.011
Scholarly communication0.0140.018
Open science0.0020.005
Research integrity0.0120.029
Insufficient payload (model declined to judge)0.0530.018

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 head0.032
GPT teacher head0.220
Teacher spread0.188 · 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

Citations3
Published2004
Admission routes1
Has abstractyes

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