MétaCan
Menu
Back to cohort
Record W3121693181 · doi:10.60082/2563-8505.1157

Charkaoui and Bill C-3: Some Implications for Anti-Terrorism Policy and Dialogue between Courts and Legislatures

2008· article· en· W3121693181 on OpenAlexfundno aff
Kent Roach

Bibliographic record

VenueSupreme Court law review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
FundersGovernment of CanadaGovernment of the United Kingdom
KeywordsLegislaturePolitical scienceTortureLawParliamentTerrorismDeportationCommissionCertificateNational securityPublic administrationHuman rightsPolitics

Abstract

fetched live from OpenAlex

The first part of the paper examines Charkaoui withparticular attention to the Court’s survey of less rights-invasive alternatives, including British special advocates and the Arar Commission’s use of security-cleared lawyers. The Court’s holding with respect to indeterminate detention and its relation to the possibility of deportation to torture is also examined.The second part of the paper examines the legislative response to Charkaoui with attention to the role of special advocates and the role of Federal Court judges in defining their precise role. The issue of whether Parliament simply obeyed the Court’s decision or expanded the policy debate is examined. In the third part, Bill C-3 is assessed as an example of truncated dialogue with respect to both security certificates and the treatment of secret information. The conclusion assesses the lessons of Charkaoui and Bill C-3 both for the development of fair and effective anti-terrorism policy and for dialogue between courts and legislatures about the treatment of the rights of the unpopular. It suggests that many issues are left to be resolved with respect to both the sustainability of security certificates and the proper approach to secret information in security certificate proceedings and other legal proceedings.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score0.854

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 studies0.0010.001
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 head0.095
GPT teacher head0.373
Teacher spread0.278 · 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
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

Citations4
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueSupreme Court law reviewSame topicTorture, Ethics, and LawFrench-language works237,207