Money laundering - an endless cycle? A comparative analysis of the anti-money laundering policies in the USA, UK, Australia and Canada
Bibliographic record
Abstract
This book provides a detailed examination of anti-money laundering policies and legislative frameworks in a number of jurisdictions and considers how successful these jurisdictions have been in implementing international measures to combat money laundering. Looking at the instruments and proposals put in place by a number of institutions including the United Nations (UN), the Financial Action Task Force (FATF) and the European Union, the book begins by reclassifying and expanding the traditional global anti-laundering policy to include aspects such as having a national money laundering strategy in place, the implementation of international instruments and the role of government and regulatory agencies. Ryder then offers a comparative analytical review of the anti-money laundering policies adopted in the United States of America, Canada, the United Kingdom and Australia and considers to what extent they have followed and implemented the identified global anti-money laundering policy. Money Laundering – An Endless Cycle? will be of particular interest to academics and students in the fields of Law, Finance, Banking and Criminology.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".