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Record W3131005368

Tarification pancanadienne du carbone, intérêt national et autonomie locale : une question d’équilibre

2020· article· fr· W3131005368 on OpenAlexaboutno aff
David Robitaille

Bibliographic record

VenueCairn.info · 2020
Typearticle
Languagefr
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

En juin 2018, dans la foulee de ses engagements internationaux, le Parlement canadien adoptait un regime legislatif de tarification du carbone. Les enjeux opposant l’exploitation des ressources naturelles et la protection de l’environnement divisent les collectivites et provinces au Canada. Trois provinces ont d’ailleurs conteste la validite constitutionnelle de ce regime au motif qu’il empieterait de facon massive dans des champs de competences que la Constitution attribue exclusivement aux provinces. Le Procureur general du Canada a defendu la validite de cette loi sur la base du pouvoir residuaire federal d’adopter des lois pour assurer « la paix, l’ordre et le bon gouvernement du Canada » qui permet, notamment, au Parlement d’adopter des lois sur des matieres nouvelles qui transcendent les interets locaux. Ce texte portera sur les impacts potentiels de ce pouvoir sur l’equilibre entre l’autonomie provinciale et l’interet national qui est au cœur du federalisme canadien. Nous soutiendrons que si le regime federal de tarification du carbone est valide, la Cour supreme devrait etre prudente et ne pas donner carte blanche au federal en matiere de lutte contre les gaz a effet de serre.

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)0.002
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.157
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.013
GPT teacher head0.206
Teacher spread0.193 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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