Transferts financiers et optimum coopératif international en matière de pollutions-stocks
Bibliographic record
Abstract
Il est bien connu que le caractère transnational de certains problèmes d’environnement requiert que les pays concernés coopèrent afin d’atteindre l’optimum social. Parmi les nombreuses contributions qui ont traité des difficultés que cette coopération est susceptible de poser, beaucoup ne traitent que de pollutions qui ne s’accumulent pas. En revanche, nombre d’articles qui prennent en compte la dimension dynamique du problème quand il y a accumulation du polluant laissent de côté le problème de la mise en oeuvre volontaire de l’optimum international. La présente contribution vise à dépasser les limites précitées. Recourant à la fois à la théorie des jeux coopératifs et à celle des jeux différentiels, on établit au moyen de transferts financiers une répartition des coûts de dépollution entre pays qui rend la coopération à la fois individuellement rationnelle et rationnelle au sens des coalitions.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".