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Record W2890747825 · doi:10.29173/alr1294

Kyoto, Constitutional Law and Alberta's Proposals

2004· article· en· W2890747825 on OpenAlexvenueaboutno aff
Nigel Bankes, Alastair R. Lucas

Bibliographic record

VenueAlberta Law Review · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionalityLegislationGovernment (linguistics)LawPolitical sciencePublic administrationPosition (finance)EconomicsConstitutionFinance

Abstract

fetched live from OpenAlex

This article examines Alberta’s Bill 37, a provincial plan to reduce greenhouse gases and climate change, and explores the constitutionality of such legislation. Its main focus revolves around a constitutional analysis of Alberta's proposed legislation and its potential incompatibility with federal initiatives used to meet the Government of Canada's commitments under the Kyoto Protocol. In this discussion, the authors conclude that Bill 37 would likely be constitutionally valid under the provincial subject matter of property and civil rights, and possibly local undertakings and ownership of provincial public lands. However, the authors dismiss the argument that Alberta's legal position over any federal initiative would be bolstered by the Crown's ownership of provincial resources. The article then looks to the federal government's Kyoto commitments and analyzes the constitutionality of possible federal initiatives under the federal subject matters of taxation, criminal law, trade and commerce and POGG. With both the Alberta and federal plans analyzed, the authors then discuss the potential incompatibility of the plans through three possible scenarios. The article concludes with a brief discussion of the other cooperative measures, such as equivalency agreements and incorporation by reference, which the federal and provincial governments may use to combat the issue of climate change.

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)0.008
metaresearch head score (Gemma)0.011
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 score0.935
Threshold uncertainty score0.472

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0120.022
Scholarly communication0.0130.003
Open science0.0030.003
Research integrity0.0060.006
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 head0.016
GPT teacher head0.304
Teacher spread0.289 · 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

Citations5
Published2004
Admission routes2
Has abstractyes

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