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Record W2627035777 · doi:10.1163/18719732-12341358

Reforming the International Whaling Commission: Indigenous Peoples, the Canadian Problem and the Road Ahead

2017· article· en· W2627035777 on OpenAlexaboutno aff
Niall Alexander Rand

Bibliographic record

VenueInternational Community Law Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWhalingIndigenousCommissionLawSubsistence agriculturePolitical scienceInternational lawBattleHistoryArchaeologyEcologyAgriculture

Abstract

fetched live from OpenAlex

The International Whaling Commission (iwc) conceals within its history a perennial battle between nations. Since the moratorium on commercial whaling took effect in 1986 both sides of the whaling debate have been unable to substantively advance their cause. This has led many commentators to question its purpose and ability to adapt to issues of modern significance. Given the interdisciplinary breadth of the debate at hand, this article primarily focuses on place of Indigenous peoples within the history of whaling and what role, if any, they will play in the future relevance of the iwc. It is argued that Canada’s withdrawal from the iwc, in the interest of its Indigenous peoples, should generally be regarded as a domestic regulatory success. Nevertheless, the time is ripe for Canada to re-establish itself at the international level with the goal of reforming the state of the Aboriginal Subsistence Whaling exception and perhaps the iwc itself.

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)0.013
metaresearch head score (Gemma)0.019
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 score0.142
Threshold uncertainty score0.996

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0230.020
Scholarly communication0.0160.004
Open science0.0050.003
Research integrity0.0130.010
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 head0.078
GPT teacher head0.379
Teacher spread0.300 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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