UNDRIP rights to guide the governance of the Northern Low-impact Shipping Corridors initiative
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".