Les avantages et les inconvénients des contrats buy-back par rapport aux contrats de partage de production
Bibliographic record
Abstract
Dans les contrats pétroliers, l’une des questions auxquelles il faut accorder une attention particulière est celle relative au mode contractuel qui permet de concilier les intérêts des pays d’accueil et les intérêts des sociétés étrangères. Chaque type de contrat articule ces deux exigences de manière différente. Le choix de l’Iran s’est porté sur les contrats buy-back. Les contrats buy-back, considérés comme étant plus conformes au droit iranien, essuient des critiques de la part de leurs détracteurs. Mettant en exergue leurs lacunes, ces derniers proposent leur remplacement par le contrat de partage de production qui est le plus couramment utilisé dans le monde. L’efficacité d’une telle réforme est discutable. L’amélioration des contrats buy-back serait plus adaptée.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 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 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".