MétaCan
Menu
Back to cohort
Record W2964347764 · doi:10.7202/1062167ar

L’Entente de liaison des marchés du carbone de la Western Climate Initiative : enjeux institutionnels et juridiques pour le Québec

2019· article· fr· W2964347764 on OpenAlexvenueaboutno aff
François Roch, Jacques Papy

Bibliographic record

VenueRevue générale de droit · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les transformations de l’organisation de l’action collective de lutte contre les changements climatiques sont marquées par la présence grandissante des entités infraétatiques et non étatiques. C’est dans ce contexte que l’architecture du marché commun du carbone de la Western Climate Initiative a émergé. Elle repose sur l’Entente concernant l’harmonisation et l’intégration des programmes de plafonnement et d’échange de droits d’émission de gaz à effet de serre, que la Californie, le Québec et l’Ontario ont signée à l’automne 2017. L’architecture proposée dans cette Entente est-elle cependant à même de fournir au marché du carbone les fondations juridiques et institutionnelles nécessaires à sa maturation et à l’atteinte de ses objectifs environnementaux et économiques ? Dans une perspective québécoise, le présent article vise à faire ressortir de manière détaillée les fonctions institutionnelles de l’Entente de liaison et à mettre en lumière les enjeux juridiques soulevés par leur mise en oeuvre.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.433

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.032
GPT teacher head0.302
Teacher spread0.270 · 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 designNot applicable
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

Citations2
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueRevue générale de droitSame topicArctic and Russian Policy StudiesFrench-language works237,207