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Record W2963832169 · doi:10.7202/1065030ar

ARAYA V. NEVSUN RESOURCES: REMEDIES FOR VICTIMS OF HUMAN RIGHTS VIOLATIONS COMMITTED BY CANADIAN MINING COMPANIES ABROAD

2019· article· en· W2963832169 on OpenAlex
Jolane T. Lauzon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRevue québécoise de droit international · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsHudbay Minerals (Canada)Canadian Armed Forces
Fundersnot available
KeywordsAppealLawDoctrineLawsuitDuty of careSupreme courtPolitical scienceTortureHuman rightsDuty

Abstract

fetched live from OpenAlex

In November 2017, the British Columbia Court of Appeal (BCCA) published its decision in the case Araya v. Nevsun Resources , dismissing the appeal filed by Nevsun, and allowing the lawsuit to move forward to the merits stage of the procedure. This decision was ground-breaking since the plaintiffs were suing Nevsun Resources, a Canadian mining company, for its alleged complicity in the use of forced labor, slavery, torture, inhuman or degrading treatment, and crimes against humanity at the Bisha Mine in Eritrea, a mine belonging to Nevsun. In its decision, the BCCA rejected the three main arguments put forward by Nevsun to get the case dismissed: (1) the forum non conveniens doctrine; (2) the Act of State doctrine and (3) the lack of private law cause of action against corporations for the violations of customary international law principles. In this context, this article offers an analysis of the most significant cases brought before Canadian Courts in regard to Canadian mining companies’ corporate social responsibility. It also relies on two influential cases from the U.S. Supreme Court: Kiobel v. Royal Dutch Petroleum and Jesner v. Arab Bank. Finally, it looks at the common challenges faced by foreign victims when they seek to bring lawsuits against transnational corporations and it briefly suggests that common law courts should adopt a new duty of care to address businesses’ corporate liability for violations of human rights.

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.

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 score0.848
Threshold uncertainty score0.906

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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