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Record W2605985722

Shipping Corridors as a Framework for Advancing Marine Law and Policy in the Canadian Arctic

2017· article· en· W2605985722 on OpenAlexaboutno aff
Louie Porta, Erin Abou-Abssi, Jackie Dawson, Olivia Mussells

Bibliographic record

VenueOcean and coastal law journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticThe arcticBusinessOceanographyInternational tradeGeology
DOInot available

Abstract

fetched live from OpenAlex

This article describes how a new policy – Arctic shipping corridors – can provide an adaptable framework for advancing marine law and policy in the Canadian Arctic. As the polar ice pack recedes due to climate change, vessel traffic in the region is increasing. As an initial response, the Canadian federal government has proposed a system of voluntary marine transportation corridors. Shipping corridors are a pragmatic policy solution that could be used to advance a number of priority maritime issues including: responsible economic development, human and vessel safety, environmental protection, and Inuit rights. Effective designation and management of shipping corridors requires a more integrated approach than exists now to account for the complexity of the Arctic marine environment. This paper explores how corridor design can create a national arctic shipping policy that advances (1) marine safety, (2) Inuit land claims agreements, (3) environmental protection, and (4) international cooperation.

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)0.014
metaresearch head score (Gemma)0.013
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 score0.179
Threshold uncertainty score0.952

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0200.031
Scholarly communication0.0160.006
Open science0.0030.008
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.326
Teacher spread0.305 · 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
Published2017
Admission routes1
Has abstractyes

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