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Record W4382888808 · doi:10.1016/j.marpol.2023.105737

UNDRIP rights to guide the governance of the Northern Low-impact Shipping Corridors initiative

2023· article· en· W4382888808 on OpenAlexafffundabout
Weishan Wang

Bibliographic record

VenueMarine Policy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsDalhousie University
FundersOcean Frontier Institute
KeywordsCorporate governanceIndigenousArcticDeclarationCollaborative governanceBusinessThe arcticPolitical scienceEnvironmental planningPublic administrationEnvironmental resource managementGeographyFinanceEconomicsLawOceanographyEcology

Abstract

fetched live from OpenAlex

Canada's governance of Arctic shipping activities is characterized by a collaborative framework that involves various stakeholders, including different governments and departments at various levels, as well as non-governmental stakeholders, such as industry partners, Indigenous organizations, and community members. Especially with Canada’s commitment to implement the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP), the need to consider how Inuit rights can guide Arctic shipping governance has become paramount. The Northern Low-Impact Shipping Corridors initiative is Canada’s comprehensive governance initiative for Arctic shipping activities, that considers the need to engage Inuit. However, few studies have focused on how Inuit rights, which are affirmed in the UNDRIP, can reshape, and guide the development and governance of the Corridors initiative. The objective of this article is to fill this knowledge gap, regarding the integration of Inuit rights into Arctic shipping governance. It starts with an overview of the impacts of Arctic shipping on Inuit communities, followed by an analysis of interactions between UNDRIP rights and shipping governance. The article draws upon existing literature on UNDRIP and Arctic shipping to identify several critical UNDRIP rights that are applicable to Arctic shipping governance. Using the Corridors initiative as a case study , this article examines the potential implications of several UNDRIP rights in terms of Inuit participation in decision-making and the governance of the corridors.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.612
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.030
GPT teacher head0.348
Teacher spread0.318 · 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 designObservational
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
Published2023
Admission routes3
Has abstractyes

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