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Record W1840263640 · doi:10.3968/5188

Analysis on U.S. Sealift Innovation Pioneer: Chester Nimitz

2014· article· en· W1840263640 on OpenAlexvenueno aff
Chen Liu, Zongtao Wang

Bibliographic record

VenueHigher education of social science · 2014
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsnot available
Fundersnot available
KeywordsNavyBroadsideMilitarismAeronauticsTest (biology)World War IIPolitical scienceHistoryOperations researchComputer scienceLawEngineeringGeologyVisual artsArt

Abstract

fetched live from OpenAlex

Sealift is not only the essential maritime tactics and techniques for modern navy, but also an important indicator to measure the naval combat capability. In the transformation of modern maritime refueling technology, Nimitz played a greatly important role. Nimitz was more than a famous militarist and strategists. In fact, he was a pioneer in promoting the innovation of marine fuel supply with excellent command capacity and mastery of technology. In 1917, Nimitz originated the riding-abeam fueling method suitable for small warships. During the early period of World War II, he reformed and developed broadside fueling suitable for aircraft carriers and other large warships, which were a leap development with historical significance. The technology of broadside fueling has successfully withstood the test of actual combat in World War II, and proved to be the important guarantee for the United States to win the Pacific war.

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)0.001
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.026
GPT teacher head0.327
Teacher spread0.301 · 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
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
Published2014
Admission routes1
Has abstractyes

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