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Record W2270057633

The Immigration and Refugee Protection Act and the International Definition of Torture

2004· article· en· W2270057633 on OpenAlexaffabout
Nicole LaViolette

Bibliographic record

VenueSSRN Electronic Journal · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTortureLawPolitical scienceHuman rightsObligationInternational lawRefugeeJurisprudenceConventionAmnesty
DOInot available

Abstract

fetched live from OpenAlex

Enacted on June 28, 2002, the Immigration and Refugee Protection Act, which refers explicitly to Article 1 of the Convention Against Torture, extends protection to a new category of persons, namely, “person in need of protection”. This article discusses how the courts will interpret sub-paragraph 97(1)(a) of the Act when determining whether a person is a “person in need of protection” as defined by the Act. The author suggests that the inclusion of the sub-paragraph in question constitutes a direct implementation of the principle precluding the return of a person who faces the risk of being tortured to his or her country of origin. Through a brief overview of the principles governing the integration of international law into Canadian domestic law, the author argues that the Courts have an obligation to interpret the word “torture” in accordance with the Convention and the international definition of the word. The author then proceeds to circumscribe the breadth of the international definition of torture by examining each of the constituent elements of the concept: the conduct, the intention of the offender and the purpose of the conduct, the identity of the offender and the exclusions. In doing so, she assesses the interpretation which different international instruments, jurisprudence and external documents have attributed to these components, including the work of the Human Rights Committee and the Committee Against Torture, as well as the jurisprudence of both the European and Inter-American Courts of Human Rights.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2004
Admission routes2
Has abstractyes

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