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Record W4413803125 · doi:10.29173/mlj1475

Property, Civil Forfeiture and the Charter

2025· article· en· W4413803125 on OpenAlexaff
Mark Soo

Bibliographic record

VenueManitoba Law Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCharterLawPolitical scienceConstitutionJurisprudenceScope (computer science)Civil law (Civil law)Civil procedureCommon lawLegislationProperty (philosophy)Law and economicsSociologyPublic lawComputer science

Abstract

fetched live from OpenAlex

This paper seeks to address the issue of how evidence obtained in violation of a Charter-protected right is to be dealt with in civil forfeiture proceedings. In arriving at the answer, the governing jurisprudence in this area of the law will be canvased to provide a contextual background that informs the parameters of this discussion. However, it will ultimately become clear by the end of this paper that evidence obtained in violation of a Charter-protected right should be dealt with by way of section 24(2) of the Constitution Act, 1982, and the use of a modified Grant test. Civil forfeiture is the process by which the state commences legal action to obtain property that was seized as an instrument or proceed of unlawful activity. Although property can be forfeited through a number of different mechanisms, the scope of this paper is limited to forfeiture proceedings commenced by way of civil action under provincial legislation with a focus on British Columbia. The case law presented in this paper will focus primarily on appellate court decisions from across the country due to the scarce attention this area of the law has received. These cases will highlight the endeavours of litigants who sought to undermine civil forfeiture proceedings through the use of common law principles and the Charter. Finally, commentary will be provided on the direction future research in this area of the law should take.

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: none
Teacher disagreement score0.976
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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