Le renouvellement des listes noires de la lutte contre l’argent sale
Bibliographic record
Abstract
La lutte contre le financement du terrorisme constitue l’une des principales facettes de la politique menée en réponse aux événements du 11 septembre 2001. Le renforcement de ce combat s’est largement inspiré de la lutte antiblanchiment, telle qu’elle s’est organisée depuis 1989. Dans cet article, nous analysons comment s’articulent ces deux missions, notamment comment la mise en oeuvre de la lutte contre le financement du terrorisme modifie la pratique de l’antiblanchiment au sein des établissements financiers. Nous montrons que les acteurs financiers privés mènent une activité désormais plus personnalisée et plus dévouée à l’assistance aux enquêtes judiciaires. Les contraintes normatives associées à la lutte contre le financement du terrorisme conduisent à une professionnalisation des acteurs privés, mais leurs effets demeurent hypothétiques.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".