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Record W3124017427

Extradition, Assurances and Human Rights: Guidance from the Supreme Court of Canada in India v. Badesha

2019· article· en· W3124017427 on OpenAlexaboutno aff
Joanna Harrington

Bibliographic record

VenueThe Supreme Court Law Review: Osgoode’s Annual Constitutional Cases Conference · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsLawDeferenceHuman rightsSurrenderSupreme courtPolitical scienceCharterState (computer science)International human rights lawEconomic Justice
DOInot available

Abstract

fetched live from OpenAlex

This article examines the Supreme Court of Canada’s decision in India v Badesha concerning a challenge to the use of diplomatic assurances to alleviate substantial risks of serious mistreatment faced by an individual wanted for trial in a foreign state. The judgment confirms that in extradition matters, the Canadian Charter of Rights and Freedoms requires the Minister of Justice to undertake an assessment of the human rights practices of the foreign state making the extradition request. However, the impact of this human rights assessment in any future legal challenge to a Minister’s decision to surrender is likely to be tempered by administrative law considerations of reasonableness and the high degree of deference accorded to the executive in matters of foreign affairs and international cooperation. The author argues that while the Court helpfully identifies various contextual factors to be used to assess the reliability of a diplomatic assurance, the real test lies in their application, backed by the availability of robust judicial review to ensure a meaningful assessment. The article also identifies the willingness of a state to subject its record of human rights observance to review by an independent international monitoring body as an important factor in assessing the reliability of a diplomatic assurance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.027
GPT teacher head0.285
Teacher spread0.258 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

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