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Record W2071571119 · doi:10.1080/17445302.2010.544088

Scientific promotion of 60 MW general-purpose nuclear icebreaker designing

2011· article· en· W2071571119 on OpenAlexfundno aff
V M Pashin, Evgeny M. Appolonov, Valery A. Belyashov, Yury A. Simonov

Bibliographic record

VenueShips and Offshore Structures · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
FundersUniversity of Saskatchewan
KeywordsShipbuildingEngineeringHullPromotion (chess)Naval architectureGovernment (linguistics)Marine engineeringPolitical scienceGeography

Abstract

fetched live from OpenAlex

The nuclear icebreaking fleet is the basis of the Russian Federation's national safety in the Arctic, and it plays the governing role in provision of shipping along the Northern Sea Route. Nuclear icebreakers are federal owned and their development is financed by the state budget. The government is actively pursuing development of nuclear icebreakers of the new generation with icebreaking capability of up to 3 m. The icebreaker is presently under detailed design conducted by the leading Russian companies (experienced in the design of the nuclear icebreakers of the previous generation) headed by JSC ‘Iceberg’. The Krylov Shipbuilding Research Institute participates in the detailed design of a new universal nuclear icebreaker, finding solutions for essential issues. First of all, it relates to the development of an optimised shape for the hull in order to ensure unique icebreaking capabilities never achieved before by any other icebreaker in the world. The Krylov Shipbuilding Research Institute investigates the other important issues.

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)0.003
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.059
GPT teacher head0.285
Teacher spread0.227 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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