MARCHÉS INTERNATIONAUX DE DROITS À POLLUER ET TAXES LOCALES SUR LES BIENS POLLUANTS
Bibliographic record
Abstract
L’intérêt des marchés internationaux de droits à polluer réside dans leur potentiel à atteindre un objectif de réduction de pollution de manière efficiente. Malheureusement, la tendance des pays participants à taxer localement les biens polluants remet en cause ce potentiel. Nous proposons un modèle permettant d’examiner l’intérêt des pays participant à un marché de droits à polluer à taxer le bien qui génère la pollution. En particulier, cet intérêt dépend de la distribution initiale des droits entre les pays participants. Nous montrons comment les droits doivent être alloués aux différents pays participants de sorte à garantir l’efficience du marché. Ces allocations optimales requièrent de distribuer gratuitement une fraction suffisamment large des droits plutôt que de les mettre aux enchères.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.002 |
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".