Bouzari and Others <i>v.</i> Islamic Republic of Iran
Bibliographic record
Abstract
586 Human rights — Freedom from torture — Nature of prohibition of torture — Whether a rule of jus cogens — Consequences — Remedies for torture — Whether State entitled to claim State immunity when sued for torture — Whether other States required to provide remedy for acts of torture committed outside their territory — Convention against Torture, 1984, Article 14(1) — International Covenant on Civil and Political Rights, 1966, Article 14 — Balance to be struck between prohibition of torture and State sovereignty Relationship of international law and municipal law — Customary international law — Part of Canadian common law — Treaties — Effect in Canadian law of treaty not implemented by legislation — International law principles and values as aid to construction of legislation — Expert evidence on international law — Admissibility — Value State immunity — Jurisdictional immunity — Exceptions to immunity — Penal proceedings — Commercial activity — Torts occasioning personal or bodily injury — Whether exception to immunity for non-commercial torts extends to torture committed by defendant State in its own territory — Whether there is an exception to immunity for violations of jus cogens — Canada State Immunity Act 1982 Treaties — Interpretation — Relevance of subsequent practice — Convention against Torture, 1984 — Practice of States Parties — Reports to Committee against Torture — Response to declaration by United States of America — The law of Canada
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".