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<scp>H</scp> ull, <scp>C</scp> ordell (1871–1955)

2018· other· en· W4238482885 on OpenAlexaff
Francis M. Carroll

Bibliographic record

VenueThe Encyclopedia of Diplomacy · 2018
Typeother
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsExpansiveHullAllianceChinaPolitical scienceState (computer science)World War IITrade warInternational tradeEconomic historyEngineeringEconomyLawEconomics

Abstract

fetched live from OpenAlex

Cordell Hull (1871–1955) served for 25 years in the US House and Senate before being appointed secretary of state by Franklin D. Roosevelt. Hull was secretary from 1933 to 1944, longer than any other incumbent. His early efforts were directed towards building reciprocal tariff reductions with the expectation of improving international trade and world stability, and he also worked to improve US relations in Latin America through the Good Neighbor Policy. As the international situation deteriorated, Hull attempted to influence Japan to end its expansive war in China, while President Roosevelt focused increasingly on building an alliance with Britain and Russia. During the Second World War, Hull was a driving force in shaping the United Nations Organization. He resigned in 1944 because of ill health and died in 1955.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.254
Threshold uncertainty score0.849

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2540.089

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 head0.015
GPT teacher head0.306
Teacher spread0.291 · 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
Published2018
Admission routes1
Has abstractyes

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