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Record W3158464669 · doi:10.1017/cyl.2021.2

Mining for Legal Luxuries: The Pitfalls and Potential of <i>Nevsun Resources Ltd v Araya</i>

2021· article· en· W3158464669 on OpenAlexvenueaboutno aff
E. M. M. Monteiro

Bibliographic record

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsInternational lawLawJurisdictionImpunityPolitical scienceHuman rightsAccountabilityState (computer science)Supreme courtGlobalizationMunicipal lawLaw and economicsSociology

Abstract

fetched live from OpenAlex

Abstract Globalization has effectively enabled Canada’s domestically incorporated mining companies to escape the jurisdiction of the courts of the world, allowing them to carry out human rights abuses abroad with impunity. In February 2020, however, the Supreme Court of Canada issued a landmark judgment, Nevsun Resources Ltd v Araya , which attempted to address this jurisdictional gap. This decision held that Canadian corporations could potentially be liable under domestic law for breaches of customary international law perpetrated abroad. The decision has been criticized for straying too far from a classically positivist conception of international law. This article argues that such criticisms are well founded insofar as the majority’s judgment implicitly relies on progressive human-centric theories of international law without adequately addressing how these are reconcilable with international law as it is currently applied. It then explores the ideas that drive the majority’s opinion in order to propose two alternative approaches to holding corporations accountable that are more readily reconcilable with traditional state-centric conceptions of international law. Adopting these revised approaches could less contentiously lead to corporate accountability before future domestic courts. Finally, this article considers the potential international developments and repercussions to which this and other forward-looking decisions could lead.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.189
Teacher spread0.182 · 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 designTheoretical or conceptual
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

Citations1
Published2021
Admission routes2
Has abstractyes

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Same venueCanadian Yearbook of international Law/Annuaire canadien de droit internationalSame topicCorporate Law and Human RightsFrench-language works237,207