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Record W4413803116 · doi:10.29173/mlj1468

Criminal Wealth Law: From Maple Syrup to Hells Angels and Unexplained Wealth Orders

2025· article· en· W4413803116 on OpenAlexaboutno aff
Michelle Gallant

Bibliographic record

VenueManitoba Law Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsLawCriminal lawTrilogyAppealSupreme courtMoney launderingCriminal justicePolitical scienceHistory

Abstract

fetched live from OpenAlex

A significant dimension of modern crime management focuses on property, wealth, money, and financial activity. The organizing theme of late twentieth-century products such as anti-money laundering laws, criminal confiscation, criminal forfeiture, and civil forfeiture is detecting and capturing wealth associated with criminal activity. Such products, which have proliferated since the inception of modern management in the late 1980s, might be described as criminal wealth law. An area of acute contemporary interest, a trilogy of recent developments, might be said to mark a certain sharpening of the edges of Canadian criminal wealth law. The first, a Supreme Court of Canada decision involving the theft of maple syrup, hones federal criminal forfeiture machinery, the principal anti-criminal wealth device. The second, a British Columbia Court of Appeal decision about clubhouses owned by the Hells Angels, sharpens a provincial criminal wealth device, civil forfeiture law. The third, arguably the most substantively significant of the trilogy, introduces a new tool to a province’s wealth-focused toolkit, an unexplained wealth order regime. This essay examines this trilogy of contributions to criminal wealth law.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
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 head0.021
GPT teacher head0.303
Teacher spread0.281 · 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 designNot applicable
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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