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Record W2899235161

Straddling the Liminal Space Section 810.01(3) Recognizance: Preventative Justice or Preventing Justice

2018· article· en· W2899235161 on OpenAlexaffabout
Rebecca Louis

Bibliographic record

VenueScholarship@Western (Western University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsLawConstitutionalityPolitical sciencePunitive damagesCriminal lawCriminal justiceSupreme courtConvictionPreventive detentionCriminologySociology
DOInot available

Abstract

fetched live from OpenAlex

This paper inquires into the constitutionality of the section 810.01 "fear of terrorism" offence that was introduced into the Criminal Code under the Anti-Terrorism Act, 2015 amendments. Ordinarily, criminal justice and sentencing intersect at the punishment of offenders for crimes they have committed. However, post 9/11, in reaction to the fear of terrorism, the focus has shifted from punishing past crimes to crime prevention. That is, certain preventative measures may be imposed in the absence of a charge, trial or conviction. Arguably, the power to detain or control the movements of persons without charging them challenges the so-called sacrosanct nature of the rule of law. This paper will unfold in three parts. Part one outlines the legal framework related to preventative recognizances and the fear of terrorism offence in the Criminal Code. Part two surveys the case law and considers constitutional questions evoked by the Canadian Charter of Rights and Freedoms with particular attention paid to the tension between section 810.01(3) recognizances and the presumption of innocence, arbitrary detention and the right to remain silent, criminal procedure and the rule of law. Part three unpacks the preventative/punitive dichotomy which is the rationale upon which section 810.01(3) recognizances are justified, by arguing that rather than a preventative provision, they are punitive since, arguably, they criminalize behaviour that is otherwise legal. This is a departure from the position taken by the Supreme Court of Canada.\nDisclaimer: The views expressed in this publication are the author's own and do not represent the views of her current employer, the Department of Justice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.151
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.062
Scholarly communication0.0120.007
Open science0.0030.006
Research integrity0.0140.012
Insufficient payload (model declined to judge)0.0030.001

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 head0.158
GPT teacher head0.393
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2018
Admission routes2
Has abstractyes

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