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Record W2234089456 · doi:10.7202/1034049ar

Constitutionalizing the Senate: A Modest Democratic Proposal

2015· article· en· W2234089456 on OpenAlexvenueaboutno aff
Joel I. Colón‐Ríos, Allan C. Hutchinson

Bibliographic record

VenueMcGill Law Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionalityConstitutionPolitical scienceDemocracyDemocratic legitimacyLegitimacyLawHouse of CommonsIdeal (ethics)Order (exchange)LegislationSeparation of powersPower (physics)Law and economicsReferendumSociologyParliamentPoliticsEconomics

Abstract

fetched live from OpenAlex

The Senate Reference did not provide an ideal situation for clarifying the nature and limits of the power of constitutional reform in Canada. The facts gave the Court no choice but to recognize the fundamental role that the Senate plays in the Canadian constitutional order, and therefore to place some of its main features outside the scope of section 44 of the Constitution Act, 1982, even if they ran contrary to basic democratic values. For example, in order to explain that the implementation of consultative elections would alter the constitution’s basic structure, the Court was forced to construe in a negative light the prospect of a democratically legitimate Senate. In this paper, rather than attack or defend bicameralism, we will argue in favour of attributing a democratically reconstituted Senate with the primary responsibility of reviewing the constitutionality of legislation (as opposed to acting as a chamber of “sober second thought” with respect to the policy decisions of the House of Commons). Such an approach, we suggest, would augment the overall democratic legitimacy of the constitutional order.

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)0.030
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.987
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0140.033
Scholarly communication0.0120.009
Open science0.0020.009
Research integrity0.0110.020
Insufficient payload (model declined to judge)0.0050.001

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 head0.069
GPT teacher head0.314
Teacher spread0.245 · 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 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

Citations0
Published2015
Admission routes2
Has abstractyes

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