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Record W7066042648

On formal safety assessment (FSA) procedure

2005· article· en· W7066042648 on OpenAlexfundvenueno aff

Bibliographic record

VenueNPARC · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
FundersTransport Canada
KeywordsProcess (computing)Maritime safetySafety standardsSafety caseRisk assessmentStructural integritySystem safety
DOInot available

Abstract

fetched live from OpenAlex

The safety of vessels has been of concern to mariners for centuries. Concepts of vessel stability, the possibility of capsizing, and structural integrity have been recognized by shipbuilders and operators from the beginning of marine shipping industry. The concepts of metacenter and restoring arm as initial stability criteria for small heel angles and practical methodologies for their evaluation were introduced in 18th century. The oldest traceable ship safety recommendations were found in the Venetian code of maritime law (13th century) requesting marking and inspection of the load line mark. After the Titanic tragedy the first International Conference on the Safety of Life at Sea (SOLAS) took place in 1913-1914, but its recommendations on subdivision and damage stability were not adopted until the next SOLAS meeting in 1929. The 1992 report on the 'Herald of Free Enterprise' accident identified and recommended the need for replacement of prescriptive rules with performance based regulations. The UK Marine Safety Agency, in 1993, suggested to the IMO's Marine Safety Committee (MSC) the concept of formal safety assessment with respect to ship design and operations. The proposition was accepted and FSA became a high priority on the MSC agenda. The Formal Safety Assessment process has been defined by the IMO as: Structured and systematic methodology, aimed at enhancing maritime safety, including protection of life, health, the marine environment and property by using risk analysis and cost benefit assessment. The method is applicable to consider the safety of vessels in a global sense (all systems) or to take into account subsystems or individual aspects of safe operations. It could be applied in situations where risk needs to be reduced but required decisions are not clearly defined and need to be analysed. It can be applied during ship design stages or to analyse single operational aspects of existing vessels. The process can be used to validate existing and/or new regulations developed applying prescriptive or risk based principles. This paper discusses aspects of FSA procedures and its implementation into deployment and validation of new regulations for vessels.

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)0.041
metaresearch head score (Gemma)0.087
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: Methods · Consensus signal: Methods
Teacher disagreement score0.041
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.087
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0040.002
Science and technology studies0.0040.008
Scholarly communication0.0090.008
Open science0.0040.008
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0360.019

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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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
GenreMethods

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

Citations1
Published2005
Admission routes2
Has abstractyes

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