Bibliographic record
Abstract
Cet article est consacré à un enjeu encore trop peu étudié malgré son importance croissante dans un domaine tel que le policing transnational, à savoir le renseignement financier. Afin de contribuer à la réflexion sur cette composante à part entière des pratiques contemporaines de surveillance ou plutôt de dataveillance, l’analyse porte plus précisément sur le programme américain de traque du financement du terrorisme ( Terrorist Finance Tracking Program [TFTP] ). Fondé sur un espace de relations à la fois au-dessus, au-delà et en deçà du national, ce programme de sécurité participe à la production de renseignement à partir d’un dispositif de traçabilité des flux financiers. Il s’agit ici d’expliciter les conditions d’existence d’un tel dispositif consistant à mobiliser de larges ensembles de traces numériques générés par une forme particulière de circulation transfrontière. Il s’agit aussi de mettre la légitimité du TFTP à l’épreuve des narratifs de justification et des « réussites » qui lui sont associés.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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; both teacher heads agree on what is shown here.
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".