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Record W2268388084

Suresh and Canada's Obligations Regarding Torture

2008· article· en· W2268388084 on OpenAlexaffabout
Evan Fox-Decent

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsTortureAppealLawPolitical scienceSupreme courtCitizenshipImmigrationCharterHuman rightsImmigration lawLegislatureInternational lawPolitics
DOInot available

Abstract

fetched live from OpenAlex

While recognizing that the right not to be subjected to torture is non-derogable, in Suresh v. Canada (Minister of Citizenship & Immigration,) the Federal Court of Appeal has found that it is not contrary to Canada's international legal obligations nor the Charter of Rights and Freedoms to deport a person to a country where there are substantial grounds to believe that he or she would face a serious risk of torture. The following comment considers the Court's approach to international human rights law in that case. The author analyses the Federal Court of Appeal's judgment in light of the Supreme Court of Canada's recent holding in Baker v. Canada (Minister of Citizenship & Immigration) that the legislature is presumed to respect the values and principles enshrined in international law, both customary and conventional.

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)0.003
metaresearch head score (Gemma)0.010
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 score0.057
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0300.013
Scholarly communication0.0100.002
Open science0.0020.004
Research integrity0.0140.008
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.016
GPT teacher head0.261
Teacher spread0.244 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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