Bibliographic record
Abstract
Si on reconnaît le souverain par sa faculté à trancher de façon décisive dans les situations historiques exceptionnelles, force est d’admettre aujourd’hui que ce souverain ne procède pas toujours selon les dispositions des États de droit. Sont également souverains, et rivalisent avec les « démocraties », quand ils n’en sont pas ses complices, les tenants d’une souveraineté offshore. La moitié du stock mondial d’argent transite par les paradis judiciaires et fiscaux, ports francs ou zones franches où financiers, avocats, gestionnaires brassent des sommes d’argent inouïes au carrefour de la gestion d’activités industrielles, financières, mafieuses et criminogènes. Là, la finance la moins imputable est en effet souveraine. Avec ses propres entités « offshore », dont certaines font partie de l’Union des 25 (le Luxembourg, Chypre et Malte), l’Europe incarne par moment ce problème majeur. Entre les États, les tricheurs, les criminels et le peuple, le concept de « souveraineté » se trouve hors foyer.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".