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Record W3170833626

The Challenge of Diversity in a Multinational Federation: the Impact of the Judiciary on Pluralism in Canada

2020· article· en· W3170833626 on OpenAlexaboutno aff
F. Bérard, Jean François Gaudreault DesBiens

Bibliographic record

VenuePerspectives on Federalism · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPluralism (philosophy)Political scienceLawConstitutionNominationCharterSupreme courtRhetoricJudicial independence
DOInot available

Abstract

fetched live from OpenAlex

Political rhetoric aside, has Canada, 150 years after its foundation, achieved its goal of preserving pluralism? How is pluralism defined within the Canadian framework? What was the judiciary’s contribution to that effect? In other words, how have Canadian courts dealt with pluralism throughout the years? Have they been successful in tackling such a challenge? This paper begins with a brief description of the organization of the Canadian judicial system, namely the hierarchy of the courts, the nomination and compensation of judges, and the guarantees of judicial independence. After that, the paper discusses the evolution of pluralism within the Canadian Courts, from three different viewpoints: a) the separation of powers; b) the institutions, like Senate reform, Supreme Court composition, and Quebec secession; and c) the Canadian Charter of Rights and Freedoms and other parts of the Constitution Act, 1982, where a special focus will be given to language and Aboriginal rights.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.172
Threshold uncertainty score0.960

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0460.026
Scholarly communication0.0130.003
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.302
Teacher spread0.254 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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