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Record W1505612915 · doi:10.24124/c677/2009136

Fair Opportunity to Participate: The Charter and the Regulation of Electoral Speech

2009· article· en· W1505612915 on OpenAlexvenueaboutno aff
Jay Makarenko

Bibliographic record

VenueCanadian Political Science Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharterDemocracySupreme courtIdeal (ethics)PoliticsLawLiberal democracySociologyContext (archaeology)Political sciencePolitical philosophyLaw and economics

Abstract

fetched live from OpenAlex

In his 1999 article, Libman v. Quebec (A.G.) and the Administration of the Process of Democracy under the Charter: The Emerging Egalitarian Model, Colin Feasby suggests that the Supreme Court of Canada endorsed an egalitarian approach to democratic participation and the regulation of electoral speech. More specifically, Feasby argues that the Court has adopted a model that draws from the philosophy of John Rawls; in particular, his supposedly egalitarian idea of the fair value of the equal political liberties. In this article, I critically examine this egalitarian thesis in the context of the Court’s more recent 2004 decisions in Harper v. Canada (Attorney General). While I agree that the Court has adopted an approach similar to the philosophy of John Rawls, I nevertheless reject the conclusion that this is an egalitarian model of democratic participation. Instead, I argue that both Rawls and the Court may be more clearly understood as endorsing a liberal fair opportunity model of elections. This liberal model rejects the egalitarian ideal that all citizens are to enjoy equality of influence in political decision making. The focus, instead, is on the liberal ideal of procedural fairness, and ensuring that all citizens have an equal opportunity or chance to influence political outcomes.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.068
GPT teacher head0.357
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
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

Citations1
Published2009
Admission routes2
Has abstractyes

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