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Record W4313418221 · doi:10.1093/jaenfo/jnac031

Principles, personalities, or trade? Explaining Taft’s 1911 prosecution of U.S. Steel

2022· article· en· W4313418221 on OpenAlexaff
Mark R. Brawley

Bibliographic record

VenueJournal of Antitrust Enforcement · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsProtectionismRivalryCleavage (geology)Political scienceInterpretation (philosophy)LawNarrativeLaw and economicsEconomicsInternational tradePhilosophyEngineering

Abstract

fetched live from OpenAlex

Abstract In 1911, the Taft Administration undertook one of the most consequential antitrust prosecutions, charging U.S. Steel with violating the Sherman Act. Some accept Taft’s claim that he was bound to act by legal principles. Others view these prosecutions as a pre-emptive attack on Theodore Roosevelt, sparked by rivalries within the Republican Party. Neither account is persuasive. The Republicans did split, but the resulting cleavage does not align with either of these arguments. These prosecutions sprang from a struggle over trade policy. Taft tried to liberalize trade twice. With his second failure, Taft abandoned those efforts. He joined the protectionist Stand-Pat wing, turning to antitrust policy to defend the protectionists’ interests. The trade-based interpretation resolves several inconsistencies in the traditional narratives, and yields a clearer description of the resulting cleavage. Taft shifted antitrust policy for tactical reasons, not because of legal principles, nor a personal rivalry with Roosevelt.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0180.031
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.227
Teacher spread0.190 · 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 designQualitative
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

Citations2
Published2022
Admission routes1
Has abstractyes

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