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Record W575401399

Presidential messages to Congress

2002· book· en· W575401399 on OpenAlexaboutno aff
William H. Taft, David H. Burton

Bibliographic record

VenueMedical Entomology and Zoology · 2002
Typebook
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPresidential systemLawVetoPolitical scienceDenialLegislationLegislatureConstitutionIndependence (probability theory)PoliticsPsychology
DOInot available

Abstract

fetched live from OpenAlex

The interaction between President William Howard Taft and the Congress provides a window on his leadership. Volume IV of The Collected Works of William Howard Taft is devoted to his messages to the legislative branch and concerns some of the pressing issues of the day, issues that have relevance still. Oftentimes President Taft was at odds with a somewhat reactionary Congress, causing him to veto legislation that he thought unwise. For example, his commitment to the independence of elected judges led him to reject statehood for Arizona until its constitution was altered to address his objection. His messages also touched on subjects for which he led the way over the objections of Congress, such as his recommendation of a federal law to protect resident aliens against denial of their civil rights and his advocacy of free trade with Canada. In his commentary to the volume, Professor Burton points out: There is exhibited time after time concern for the American people, for men and women from different walks of life. Taft comes across less as a judge, which he had been, or the chief justice he was to become, and more as a sitting president of all the people. Taft's Presidential Messages to Congress provides the documentary evidence to support that claim.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.033
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0330.009

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 head0.016
GPT teacher head0.312
Teacher spread0.296 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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