International anti‐money laundering and anti‐terrorist financing: the work of the Office of the Superintendent of Financial Institutions in Canada
Bibliographic record
Abstract
Focuses on the work of Canada’s Office of the Superintendent of Financial Institutions (OSFI( in relation to international cooperation against money laundering and terrorism. Outlines Canada’s international obligations to the Financial Action Task Force, International Monetary Fund, United Nations, and to the international bodies concerned with customer due diligence and related matters: these are the Basel Committee on Banking Supervision and the International Association of Insurance Supervisors. Moves on to OSFI’s relationship with the Financial Transactions and Reports Analysis Centre of Canada (FINTRAC(. Lists some of the categories of higher risk that federally regulated financial institutions (FRFI( are expected by OSFI, following international regulators, to recognise as far as customer identification standards are concerned. Summarises OSFI’s anti‐money laundering guidelines. Indicates other areas of financial crime that OSFI combats: financial institution identity theft and advance fee scams, and the growing of marijuana plants in “grow houses”.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| 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".