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Noise: a risk factor for sailors’ health and navigation safety

2020· article· en· W3118763974 on OpenAlexaboutno aff
Mihaela Picu

Bibliographic record

VenueAnnals of the ”Dunarea de Jos” University of Galati Fascicle II Mathematics Physics Theoretical Mechanics · 2020
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsCrewNoise (video)Quarter (Canadian coin)Occupational safety and healthAffect (linguistics)Noise exposureAeronauticsWork (physics)Environmental healthEngineeringAudiologyPsychologyMedicineHearing lossComputer scienceHistoryCommunication

Abstract

fetched live from OpenAlex

Occupational noise affects the health of sailors. Following health checks, it was found that almost a quarter of a pusher's navigating crew lost their hearing in a proportion of 10-40%. For this reason, determinations were made to see which are the most important sources of noise. These determinations showed that the noise in the engine room exceeds 90-100dB, and in the control cabin, the sound level is 75-80dB. Noise also impedes communication between sailors, making it extremely dangerous for the safety of people and vessels. For these reasons, companies must take all measures to ensure that the work of seafarers does not affect their health and it runs safely.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score0.627

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2020
Admission routes1
Has abstractyes

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