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Record W2239538948

The Demise of the Political Compromise Doctrine: Have Official Language Use Rights Been Revived?

2008· article· en· W2239538948 on OpenAlexaffabout
Denise G. Réaume

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCompromiseInterpretation (philosophy)Supreme courtDoctrineLawPoliticsPolitical scienceLaw and economicsSociologyPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Most of the constitutionalized language rights in Canada have received a large and liberal interpretation. In contrast, the constitutional to use either official language in the courts has been categorized as a compromise right and interpreted narrowly to the point of being ineffective. Recently, a majority of the Supreme Court rejected the political compromise doctrine in R. v. Beaulac. It is hoped that this decision will result in a broader interpretation of the to use English or French before the courts. A restrictive interpretation of the right, however, is also dictated by its having been characterized as a negative liberty, and this aspect of the past case law was not overruled by Beaulac. In part, the negative liberty interpretation of the to use either official language in the courts stems from the fear that to adopt a positive approach would result in an irresolvable conflict between interacting holders of the same right. A positive interpretation of the is possible, however, if corresponding duties are imposed not on individuals, but on the state. In order to support a broad and positive interpretation of language use rights in the courts, as well as in the provision of government services, what is needed is an understanding of their purpose that goes beyond effective communication, that is, not one based on a natural justice rationale. To counter the tendency to construe the purpose of language rights in wholly instrumental terms, we need an account of such rights that recognizes the intrinsic value to a minority official language community of the use of its language. While Beaulac moves us significantly in the direction, the Supreme Court failed to articulate fully why the use of a particular language is important to a community.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.281
Teacher spread0.266 · 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

Citations4
Published2008
Admission routes2
Has abstractyes

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