Canadian Corporations Bound by the Phoenix: Setting the Path for the United States
Bibliographic record
Abstract
This Note argues that the United States courts have jurisdiction to consider corporate liability for international law violations of human rights under the reasoning of the Supreme Court of Canada, in Nevsun Resources Ltd. v. Araya. The United States Supreme Court has escaped holding such liability exists, but Canada has outlined how countries, such as the United States, no longer can avoid holding corporations liable under customary international law. Corporate liability for human rights violations committed abroad is a cutting-edge issue. The United States Supreme Court has considered the issue before, but the Court used different analyses and was without any precedent to refer to. In prior decisions, the Court rationalized that customary international law was not influential enough and that Congress needed to be involved to hold corporations liable for such violations. However, the Supreme Court of Canada’s decision demonstrates that the United States’ justices who previously decided against adoption of corporate liability under customary international law no longer can defend their antiquated arguments. This issue is bound to be in front of the Court again and will be highly publicized because of the trending rise of importance of human rights. The United States Supreme Court must conform to the customary international law holding corporations liable for international law violations of human rights.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.006 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.015 | 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".