Judgment of the Supreme Court of Canada of February 28, 2020, on Nevsun v. Araya: a “quiet revolution” in the assessment of the status of corporations under public international law?
Bibliographic record
Abstract
The article analyses the Judgment of the Supreme Court of Canada on the Nevsun v. Araya case, which deals with the severe violations of human rights, including slavery and forced labor with respect of the workers of Eritrean mines owned by a Canadian company “Nevsun”. By a 5 to 4 majority, the court concluded that litigants can seek compensation for the violations of international customs committed by a company. This decision is underpinned by the tenets that international customs form a part of Canadian common law, companies can bear responsibility for violations of International Human Rights Law, and under ubi jus ibi remedium principle plaintiffs have a right to receive compensation under national law. Being a commentary to this judgment the article focuses its analysis on an issue that is of a key character for Public International Law, namely on the tenet that international customs impose obligations to respect human rights on companies and they can be called for responsibility for these violations. This conclusion is revolutionary in the part in which it shifts the perception of the companies’ legal status under International Law. The court’s approach is critically assessed against its well-groundness and correspondence to the current stage of International law. In particular, the authors discuss, whether the legal stance on the Supreme Court of Canada, under which companies can bear responsibility for violations of International Human Rights Law is a justified necessity or a head start.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.008 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.022 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".