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Record W1563748291 · doi:10.60082/2563-8505.1158

A Bismarckian Moment: Charkaoui and Bill C-3

2008· article· en· W1563748291 on OpenAlexaff
Craig Forcese, Lorne Waldman

Bibliographic record

VenueSupreme Court law review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCharterSupreme courtLawPolitical scienceImmigrationBill of rightsImmigration lawParliamentPoliticsLaw and economicsConstitutionSociology

Abstract

fetched live from OpenAlex

Bill C-3, an effort to remedy the core defects of the prior immigration security certificate regime, cobbles together a potentially half-hearted “special advocate” regime and converts immigration law into a de facto system of indefinite limits on liberty for foreigners. The new system will generate an inevitable series of new constitutional challenges, some of which may succeed at the Supreme Court unless the deficiencies of Bill C-3 are cured by careful innovation at the Federal Court level. This paper explores these contentions. Part II of the paper provides a brief overview of the immigration security certificate regime and the core Charkaoui holding on the question of fair hearings. Part III canvasses the various models of “special counsel” the Supreme Court suggested might satisfy constitutional requirements under section 1 of the Charter. Part IV examines the policy and political environment in which Bill C-3 was the n developed, the nature of Bill C-3’s response to the core findings of the Charkaoui decision and the law-making process in Parliament. Part V the n turns to other features of Bill C-3, noting both changes that will likely prove important and other areas that will likely create new controversies, including the question of indefinite detention. The paper concludes that Bill C-3 represents an unsatisfactory waypoint in — rather than an ultimate culmination of — protracted constitutional debates over security certificates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score0.491

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 head0.082
GPT teacher head0.322
Teacher spread0.241 · 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 designNot applicable
Domainnot available
GenreReview

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 routes1
Has abstractyes

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