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Record W2748742866 · doi:10.14288/1.0351981

Democratic rights on trial : judicial reasoning, charter litigation, and the shaping of Canadian democracy

2017· article· en· W2748742866 on OpenAlexaffabout
Jonah Goldberg

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDemocracyCharterPolitical scienceLawLaw and economicsSociologyPolitics

Abstract

fetched live from OpenAlex

The purpose of this essay is to gain a greater understanding of judicial reasoning and strategic judicial behaviour through analysing Charter cases in one of its major subfields: democratic rights. While many authors have previously sought to address democratic rights cases dealing with judicial reasoning, none have offered a unified and comprehensive theory of democratic rights litigation that addresses all of the field’s major subcomponents, including prisoners’ voting rights, referendum and election campaign finance restrictions, party subsidies, and electoral boundaries. This essay will seek to provide a unified and comprehensive theory through looking at democratic rights cases involving all four major areas. It will ultimately argue that democratic rights litigation can best be understood as a product of tensions between two major lines of judicial reasoning, remedial egalitarianism and procedural libertarianism, over the constitutional meaning of equality. This essay will begin by exploring the nature of judicial reasoning and strategic behaviour, and then turn to defining and explaining the two major lines of judicial reasoning that characterize democratic rights litigation. Next, it will seek to apply the theoretical concepts of remedial egalitarianism and procedural libertarianism to explain judicial rulings involving the intersection between democratic rights on the one hand and freedom of expression and representation on the other. This essay concludes by speculating about where democratic rights litigation is likely to go in the future and how Canada’s experiences might be relevant to scholars abroad.

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)0.008
metaresearch head score (Gemma)0.025
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 score0.812
Threshold uncertainty score0.942

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0420.033
Scholarly communication0.0190.005
Open science0.0020.005
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.237
Teacher spread0.211 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

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