The Economics of Oil, Biofuel and Food Commodities
Bibliographic record
Abstract
Nous étudions l'effet sur le marché des aliments de l'introduction sur le marché de l'énergie de biocarburants, comme substitut aux combustibles fossiles. Nous supposons une économie où cohabitent sur le marché de l'énergie un cartel pétrolier et une frange compétitive de cultivateurs qui produit de l'énergie sous forme de biocarburant. Les cultivateurs produisent également des \nproduits agricoles qu'ils vendent sur le marché des aliments. Nous caractérisons la relation qui en résulte entre le prix de l'énergie et le prix des aliments, ainsi que le sentier d'extraction du cartel pétrolier et le sentier de prix de l'énergie. Il est démontré que le prix des aliments va \ncroître aussi longtemps que le stock de pétrole n'est pas épuisé, et cela que la population soit croissante ou non. Il continuera à croître une fois le stock de pétrole épuisé si la population est croissante. Les effets de l'amélioration dans la productivité de la terre dans la production d'aliments ainsi que dans la production de biocarburant sont analysés.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".