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Record W631467133 · doi:10.5957/mt1.2007.44.4.245

Climate Change Impact on Canadian Northern Shipping Regulations

2007· article· en· W631467133 on OpenAlexaffabout
Ivana Kubat, Robert Gorman, Anne Collins, G.W. Timco

Bibliographic record

VenueMarine Technology and SNAME News · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsCanadian Cardiovascular Society
Fundersnot available
KeywordsPort (circuit theory)ArcticClimate changeMeteorologyClimatologyThe arcticInternational shippingEnvironmental scienceNumerical weather predictionGeographyPhysical geographyGeologyEngineeringOceanographyBusinessInternational trade

Abstract

fetched live from OpenAlex

The objective of this study was to find what effect climate change would have on the Zone-Date System (ZDS). The paper presents an analysis of ice conditions in the Northwest Passage (NWP) shipping lanes and the access routes to the Port of Churchill in the Hudson Strait. The analysis examines the existing and potential changes to ice regimes in the NWP shipping lanes due to the impact of climate change. The length of the shipping season in the NWP is analyzed for each zone by both the ZDS and the Arctic Ice Regime Shipping System, and both systems are then compared. This paper discusses the results of the analysis.

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)0.001
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.321
Teacher spread0.294 · 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

Citations6
Published2007
Admission routes2
Has abstractyes

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