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Record W2115453667 · doi:10.7202/038892ar

Regulating Greenhouse Gases in Canada: Constitutional and Policy Dimensions

2010· article· en· W2115453667 on OpenAlexaffvenueabout
Shi-Ling Hsu, Robin Elliot

Bibliographic record

VenueMcGill Law Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGreenhouse gasRatificationKyoto ProtocolNegotiationCarbon taxConstitutionNatural resource economicsPolitical scienceEconomicsEconomic policyPoliticsLawEcology

Abstract

fetched live from OpenAlex

Canada’s greenhouse gas emissions have risen dramatically since the 1997 negotiation of the Kyoto Protocol, and that rise has continued through Canada’s 2002 ratification of the Protocol. Along with economic dislocation, constitutional barriers to regulation have sometimes been cited as the reason for caution in regulating greenhouse gases. This article critically evaluates the constitutional arguments and examines the policy considerations surrounding various regulatory instruments that might be used to reduce greenhouse gases. We conclude that the Canadian constitution does not present any significant barriers to federal or provincial regulation and that policy considerations strongly favour the use of two instruments: a federal carbon tax to impose a marginal cost on emissions and the Canadian Environmental Assessment Act to review federal projects that may increase greenhouse gases.

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)0.009
metaresearch head score (Gemma)0.017
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 score0.819
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0210.025
Scholarly communication0.0140.003
Open science0.0030.003
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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

Citations15
Published2010
Admission routes3
Has abstractyes

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