Canada’s laws on money laundering and proceeds of crime: the international context
Bibliographic record
Abstract
Begins with the Canadian Proceeds of Crime (Money Laundering) Act 1991, which was amended after 2001 into the Proceedings of Crime (Money Laundering) and Terrorism Financing Act. Looks at developments against money laundering in other countries such as the UK and USA; some prominent international measures and conventions include the 1988 United Nations Convention Against Illicit Traffic in Narcotic Drugs and Psychotropic Substances, the 1990 Council of Europe Convention on Laundering, Search, Seizure and Confiscation of the Proceeds of Crime, the Organisation for Economic Cooperation and Development Convention on Combating Bribery of Foreign Public Officials in International Business Transactions, and the Palermo Convention of the United Nations. Mentions also relevant United Nations conventions against terrorism and corruption. Moves on to international standards, mentioning the work of the Basel Committee, the World Bank and the International Monetary Fund. Examines in detail the work of the Financial Action Task Force, which has become the recognised international forum on money laundering matters, and its 40 recommendations.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".