Accountability of Canadian Mining Corporations for Their Overseas Conduct: Can Extraterritorial Corporate Criminal Prosecution Come to the Rescue?
Bibliographic record
Abstract
Abstract This article is set against the backdrop of the inability of Canadian courts to hear civil cases brought by victims of the operations of Canadian mining corporations in developing countries where accountability mechanisms are weak. The article examines the legal framework for extraterritorial criminal prosecution in Canada with a view to seeing how corporate criminal prosecution could fill the accountability gap and contribute to the promotion of the accountability of Canadian mining corporations involved in human and environmental rights abuses in developing countries. The article argues that extraterritorial criminal prosecution holds prospects for success in Canada, if only the Canadian government is willing to utilize it. The real and substantial link test, the Crimes against Humanity and War Crimes Act, and several sections of the Criminal Code provide sufficient jurisdictional bases for such prosecution. The amendments to the doctrine of corporate criminal liability that were made in Canada in 2003 bolster the criminal jurisdictional strength of Canadian courts. Lastly, there are no compelling international comity concerns to discourage the Canadian government from utilizing the criminal justice process to contribute to the global fight against corporate impunity in human and environmental rights abuses. This article seeks to contribute to the knowledge of the powers at the disposal of the Canadian government to do so.
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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 | 0.004 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".