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Record W2884094401 · doi:10.1002/9781118476406.emoe019

Environmental Impacts from Ships Operating in Polar Regions

2018· other· en· W2884094401 on OpenAlexaff
Victor Santos Pedro, Drummond Fraser

Bibliographic record

VenueEncyclopedia of Maritime and Offshore Engineering · 2018
Typeother
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsTransport CanadaGlobal Affairs Canada
Fundersnot available
KeywordsPolarArcticPolar codeThe arcticEnvironmental scienceResource (disambiguation)Climate changeTransit (satellite)Environmental impact assessmentEnvironmental resource managementMeteorologyOceanographyGeographyComputer scienceEcologyEngineeringGeologyTransport engineering

Abstract

fetched live from OpenAlex

Abstract Climate change and the associated reductions in thickness and extent of ice cover, in addition to various global market forces and an overall interest in the Polar Regions, are contributing to increased levels of shipping and vessel operation in both Arctic and Antarctic waters. Despite a growing interest in resource development, potential transit routes, and scientific research, the Polar Regions also remain among the most unique and environmentally sensitive places on earth and are particularly prone to negative environmental impacts unique to ship operations. This article highlights some of the more common ship‐associated environmental impacts. Throughout, particular emphasis is placed on criteria for minimizing the probability of any such negative impact or incident from occurring, in particular through the development of international standards and requirements for ships (e.g., the Polar Code) that are tailored to the unique operating demands of the Polar Regions.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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