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Record W7014246069

Options for Funding Aircraft Carriers

2002· article· en· W7014246069 on OpenAlexaboutno aff

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies in Central America
Canadian institutionsnot available
Fundersnot available
KeywordsNavyShipbuildingRevenueQuarter (Canadian coin)Cost–benefit analysis
DOInot available

Abstract

fetched live from OpenAlex

For over 40 years, Congress has funded the construction of U.S. Navy ships by appropriating enough money to pay for the entire construction project in the initial year of construction. This "full-funding" practice was undertaken to ensure that Congress was aware of the total cost of a project before it was begun and that one Congress would not bequeath to subsequent ones a choice between further appropriations and midcourse cancellation. The Navy begins construction of a new aircraft carrier every fourth or fifth year (on average), and the fully funded cost of a carrier can rep- resent a quarter or more of the total Navy shipbuilding budget. Because federal revenues do not increase by the cost of a carrier every fourth or fifth year, appropriating money for a carrier usually means reducing appropriations for something else that year for other shipbuilding efforts, other Navy programs, spending elsewhere in the Department of Defense (DoD), or outside DoD.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.063
GPT teacher head0.249
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

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
Published2002
Admission routes1
Has abstractyes

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