Bibliographic record
Abstract
Résumé La corruption est devenue aujourd’hui un enjeu économique et institutionnel mondial qui touche non seulement les entreprises, mais aussi l’équilibre socioéconomique et parfois politique des pays. De ce fait, elle a forcé la communauté internationale et tous les pays qui la constituent à lui accorder une attention plus grande. Cet article relate comment la corruption est devenue cet enjeu mondial et comment les organisations internationales, comme l’O.C.D.E., la Banque mondiale et le F.M.I., ont entrepris de construire un cadre normatif de gouvernance qui permette de la combattre. Un modèle qui résume le cadre en développement est proposé. Cet article se focalise surtout sur l’action des organisations internationales et révèle le rôle particulier que joue Transparence-International qui en est le fer de lance. Quelques conséquences de cette évolution pour la gestion des entreprises sont indiquées en guise de conclusion.
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 | 0.004 | 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 | 0.000 | 0.000 |
| 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 | 0.001 |
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 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".