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Record W1929891921

Constitutional Conventions and Senate Reform

2013· article· en· W1929891921 on OpenAlexaffabout
Fabien Gélinas

Bibliographic record

VenueCentAUR (University of Reading) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsConstitutionConstitutionalityLawParliamentPolitical scienceSeparation of powersConstitutional amendmentOriginalismContext (archaeology)House of CommonsEnumerated powersLimited governmentPolitics
DOInot available

Abstract

fetched live from OpenAlex

Constitutional conventions are of central importance to the operation of the Canadian constitution; the constitution cannot be understood without reference to them. Yet their effect on the constitutionality of the federal government’s successive proposals for reforming the Senate, which aim at making most or all senators elected rather than appointed at the Prime Minister’s discretion as they are now, has not received much attention. \n \nConstitutional conventions are essential to an assessment of the constitutionality of the proposed Senate reform. Although the government’s proposal does not affect formal constitutional provisions, it would change the actual operation of the constitution by subverting the conventions which make the prime minister responsible for senatorial appointments and require the unelected Senate to yield to the House of Commons. \n \nWe argue that he amending formula of the Constitution Act, 1982, must be interpreted to take these conventions into account. Conventions are underpinned by constitutional principles and are an essential part of the context in which constitutional text must be understood. For the constitution to be a "living tree," its interpretation must, so far as possible, be consistent with the way it is actually lived. The "method of selecting Senators" and the "powers of the Senate," which par. 42(1)(b) of the Constitution Act, 1982, protects from unilateral amendment by Parliament are not those that exist only on paper, but those of the living constitution. Because the government’s Senate reform proposal would change them, it can only be enacted under par. 42(1)(b). In its present form, it is unconstitutional.

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)0.014
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.131
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0140.027
Scholarly communication0.0100.006
Open science0.0020.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0150.002

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 head0.225
Teacher spread0.212 · 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 designQualitative
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

Citations10
Published2013
Admission routes2
Has abstractyes

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