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Record W2253507101

Politics Masquerading as Principles: Representation by Population in Canada

2009· article· en· W2253507101 on OpenAlexaboutno aff
Brian M. Studniberg

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtInterpretation (philosophy)CharterLawAppealPoliticsImpossibilityPolitical sciencePopulationRepresentation (politics)Law and economicsSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The author calls for a re-examination of the Supreme Court of Canada’s approach to Section 3 of the Charter. Focusing on the leading Section 3 decision in the Saskatchewan Reference, he argues that the majority of the Court erred when it chose effective representation as the guiding interpretive principle of the right to vote. Instead, he calls for a re-interpretation on a more practical and principled basis: the idea of presumptive equality adopted by the Saskatchewan Court of Appeal.The author begins by laying out the contrasting interpretive positions of the two courts. He proceeds to identify and critique the central justifications for the holding of the majority of the Supreme Court: the practical impossibility of drawing equal districts; Canada’s expansive geography; the historical interpretation of the right to vote; and the impact of communities of interest and minority representation. Finding that these concepts form an unstable and illusory basis on which to justify the continued dilution of individual votes, he proposes presumptive equality as a principled alternative. Highlighting two more recent decisions of the Supreme Court in Sauve and Figueroa, he points out that the Court has since recognized that the Section 1 stage is the more appropriate place to balance the competing values of Canadian society against the right to vote. In a plural modern society such as Canada’s the way forward should be guided by the closest possible approximation of representation by population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.290
Teacher spread0.277 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2009
Admission routes1
Has abstractyes

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