MétaCan
Menu
Back to cohort
Record W3010700846 · doi:10.37220/mit.2020.47.1.070

Сравнение требований российского морского регистра судоходства и финско-шведских правил к ледовым классам

2020· article· ru· W3010700846 on OpenAlexaboutno aff
О.Э. Суров, Maksim V. Kitaev, S.V. Kalenchuk, A.I. Mamontov

Bibliographic record

VenueМОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИ · 2020
Typearticle
Languageru
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersRussian Foundation for Basic Research
KeywordsArcticThe arcticClass (philosophy)Sea iceMeteorologyClimatologyGeographyPhysical geographyBusinessOperations researchComputer scienceEngineeringGeologyOceanographyArtificial intelligence

Abstract

fetched live from OpenAlex

Освоение ресурсов Арктики приводит к конкуренции в области проектирования и постройки судов ледовых классов, а также к необходимости совершенствования и корректировки требований ведущих классификационных обществ. До недавнего времени ведущие классификационные общества имели собственные требования к ледовым классам. В настоящее время ведущие иностранные классификационные общества включили в свои правила Балтийские ледовые классы, соответствующие требованиям Финско-Шведских Правил для судов ледового класса и Полярные ледовые классы, соответствующие Унифицированным требованиям международной ассоциации классификационных обществ. Собственную ледовую классификацию судов, ориентированную на ледовые условия канадской Арктики сохранило только Американское бюро судоходства. Исходя из сложившихся тенденций, имеет смысл сравнивать требования правил Российского морского регистра судоходства к ледовым классам, не с требованиями правил конкретных иностранных классификационных обществ, а непосредственно с требованиями Финско-Шведских Правил и Унифицированными требованиями международной ассоциации классификационных обществ. Принимая во внимание тот факт, что подавляющее большинство вводящихся в строй судов с ледовым классом имеют балтийские классы, то на данном этапе исследования целесообразно выполнить сопоставление требований к ледовым классам Правил Российского морского регистра судоходства и Финско-Шведских Правил. The development of Arctic resources leads to competition in shipbuilding industry and ice class vessels design, as well as to development and updating the requirements of classification societies. Until recently the classification societies had their own requirements for ice classes. Nowadays the leading foreign classification societies have included in their rules the Baltic ice classes that correspond to the requirements of the Finnish-Swedish Rules for ice class ships and the Polar ice classes that correspond to the unified requirements of the International Association of Classification Societies. Nonetheless the American Bureau of Shipping retained its own ice classification of ships, oriented to the ice conditions of the Canadian Arctic. Based on the global trends it is obvious to compare the Russian register of shipping rules with the requirements of the Finnish-Swedish Ice class rules and Unified Requirements for polar ships. The most of modern ice class vessels have the Baltic Finnish-Swedish Ice classes than reasonable to compare the requirements of Russian register of shipping rules with the requirements of the Finnish-Swedish Ice class rules.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0100.007
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0470.014

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 head0.064
GPT teacher head0.333
Teacher spread0.270 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueМОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИSame topicArctic and Russian Policy StudiesFrench-language works237,207