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Record W2778497492 · doi:10.3917/forum.151.0027

Histoire d'expérience et expérience de l'histoire

2017· article· fr· W2778497492 on OpenAlexaff
Pierre Maistre

Bibliographic record

VenueForum · 2017
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsMinistry of Labour, Employment and Social Solidarity
Fundersnot available
KeywordsPhilosophyHumanitiesArt

Abstract

fetched live from OpenAlex

Le systeme d’echange de quotas d’emission de gaz a effet de serre, mis en place par l’Union europeenne en 2005, implique des transferts de milliards d’euros, non seulement entre les entreprises, mais aussi entre secteur prive et secteur public, et entre riches et pauvres. Que sait-on aujourd’hui des effets du plus grand marche de quotas environnementaux au monde ? Frank Venmans presente la synthese d’une centaine d’articles scientifiques consacres a l’efficacite economique et environnementale du marche de quotas de CO2. Apres un bref historique du marche europeen, l’auteur en presente les enjeux les plus controverses : la sur-allocation des quotas et la diminution des emissions de CO2 par les entreprises. Il synthetise les conclusions des scientifiques sur les consequences, non anticipees a l’epoque, du systeme mis en place : la fuite de carbone, les effets nefastes des allocations gratuites, la difficulte des mesures d’ajustement aux frontieres, l’impact du marche carbone sur l’innovation et son effet sur la distribution des revenus. Il recadre ainsi le debat sur le choix entre taxe carbone ou systeme de quotas echangeables. Enfin, l’equilibre des prix, la question de la reglementation directe et le role des responsables politiques sont discutes dans le cadre d’une vision de long terme, fondee sur la necessite d’en finir avec les emissions de carbone sans attendre l’epuisement des energies fossiles.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.062
GPT teacher head0.272
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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