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Record W2884620965 · doi:10.7202/1054350ar

Separate but Unequal: Immigration Detention in Canada and the Great Writ of Liberty

2018· article· en· W2884620965 on OpenAlexvenueaboutno aff
Siena Anstis, Joshua Blum, Jared Will

Bibliographic record

VenueMcGill Law Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsHabeas corpusLawPolitical scienceImmigrationAppealTribunalImmigration lawContext (archaeology)LegislationPetitionerConstitutionSupreme courtHistory

Abstract

fetched live from OpenAlex

Canada maintains a separate legal regime for immigration detainees who, until recently, were denied the right to seek release by way of habeas corpus . This denial of one of the most deeply entrenched rights at common law and under the Canadian Charter of Rights and Freedoms was justified by the proposition that the immigration detention scheme is “separate but equal”—that it provides an adequate remedy such that habeas corpus is not necessary. Perhaps unsurprisingly, this “separate but equal” regime has failed to provide basic procedural and substantive protections that are available in other Canadian legal regimes where liberty is at stake. However, in 2015, the Court of Appeal for Ontario reignited the availability of habeas corpus as a remedy to indefinite detention in the immigration context in Chaudhary v. Canada ( Public Safety and Emergency Preparedness) . By reversing a line of cases that had confined immigration detainees to review by an administrative tribunal and judicial review in the Federal Court, Chaudhary has opened the door to the superior courts for immigration detainees. This article provides a review of the immigration detention system in Canada, the applicable legislation, procedures, and case law, and canvasses the impact of Chaudhary on the rights of immigration detainees. It then considers the benefits of habeas corpus as a litigation strategy, the role it has played in debunking the “separate but equal” myth, and suggests other potential issues now ripe for further litigation.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.278
Teacher spread0.253 · 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

Citations7
Published2018
Admission routes2
Has abstractyes

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