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Record W3124433209

The Economics of Oil, Biofuel and Food Commodities

2011· preprint· en· W3124433209 on OpenAlexaff
Eric Bahel, Walid Marrouch, Gérard Gaudet

Bibliographic record

VenueRePEc: Research Papers in Economics · 2011
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsUniversité de MontréalCenter for Interuniversity Research and Analysis on Organizations
Fundersnot available
KeywordsCartelBiofuelEconomicsFood pricesFood marketFossil fuelAgricultural economicsNatural resource economicsPopulationStock (firearms)BusinessFood securityAgricultureMarket economyBiotechnologyGeography
DOInot available

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.000

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.

Opus teacher head0.059
GPT teacher head0.269
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2011
Admission routes1
Has abstractyes

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