Non-Conviction Based Forfeiture in Canada: The Example of Three Outlaw Motorcycle Gang Clubhouses
Bibliographic record
Abstract
A 2023 non-conviction based (NCB) forfeiture order was recently issued against three clubhouses in Canada. Each served as the chapter headquarters for an outlaw motorcycle gang. Clubhouses form the base of operations for their organized criminal activities. The protracted litigation started in 2007, and a Canadian appellate court found in February 2023 that the clubhouses were forfeitable as instruments, as they supported the organized criminal activities of outlaw motorcycle gangs. The court overturned a trial ruling that part of the NCB law was unconstitutional. The court also held that each clubhouse served as a “safe house” for the respective gang, namely as a place where business could be conducted away from the prying eyes of the police. The clubhouses were also intelligence hubs, where members could discuss their criminal business, their rivals, and the techniques used by police to interdict them. Lastly, the court found that each clubhouse operated as a “planted flag” marking the territorial jurisdiction of the outlaw motorcycle gang, announcing to both customers and rivals that this was its territory. Leave to appeal this ruling from Canada’s highest court was denied, so this final judgment will have an important impact on organized crime cases moving forward, giving law enforcement an NCB option to apply. This article summarizes the cases and examines the type of evidence used in court to tackle organized crime. It concludes with the analysis of a similar case in New Zealand.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.039 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".