Faits et conspirations : les limites du scandale financier
Bibliographic record
Abstract
L’organisation de systèmes d’opérations financières suspectes diffèrerait souvent de l’image présentée par les scandales qu’ils suscitent. Des formes de criminalité sont confondues avec des schèmes de nature douteuse (finance grise) accessibles à une minorité. De plus, la ferveur du scandale tend à cibler certains acteurs comme dirigeant un groupe centralisé ou intermédiaires entre les milieux d’affaires, politique et criminel. Les transactions sont reconstruites en un complot d’ensemble tandis qu’elles constitueraient diverses collaborations visant des intérêts privés dans le petit monde de réseaux d’élites. L’étude de cas des scandales liés à Michele Sindona et Roberto Calvi par analyse documentaire et de réseaux illustre de telles disparités concernant la représentation de la criminalité financière.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".