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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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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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