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Record W1988710365 · doi:10.1093/ejil/chm050

The Duty of States Parties to the Convention against Torture to Provide Procedures Permitting Victims to Recover Reparations for Torture Committed Abroad

2007· article· en· W1988710365 on OpenAlexaboutno aff
Carol K. Hall

Bibliographic record

VenueEuropean Journal of International Law · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsTortureLawConventionJurisdictionUniversal jurisdictionPolitical scienceRedressDutyState (computer science)Human rights

Abstract

fetched live from OpenAlex

The universal criminal jurisdiction provisions of the Convention against Torture and Other Cruel, Inhuman or Degrading Treatment or Punishment (‘the Convention’) which require each state party to extradite or submit any case involving a foreigner in territory subject to its jurisdiction suspected of torture committed abroad against another foreigner to its competent authorities for the purpose of prosecution. What is not generally known is that Article 14 of the Convention, which contains no geographic restriction, requires each state party to ensure in its legal system that any victim of an act of torture, regardless of where it occurred, obtains redress and has an enforceable right to fair and adequate compensation, including the means for as full rehabilitation as possible. Despite two recent decisions, one by a Canadian court and the other by the House of Lords, which erroneously asserted the contrary, an authoritative interpretation by the Committee against Torture, the ordinary meaning of the wording of Article 14, the structure of the Convention, and the drafting history all confirm that Article 14 applies to torture committed abroad regardless of the nationality of the perpetrator or the victim.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.105
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0100.004
Open science0.0030.004
Research integrity0.0170.013
Insufficient payload (model declined to judge)0.0080.004

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 head0.015
GPT teacher head0.324
Teacher spread0.309 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations98
Published2007
Admission routes1
Has abstractyes

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