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Record W2972952445 · doi:10.60082/2817-5069.3351

Assessing the Impact of Unilingualism at the Supreme Court of Canada: Panel Composition, Assertiveness, Caseload, and Deference

2018· article· en· W2972952445 on OpenAlexaffvenueabout
Jean-Christophe Bédard-Rubin, Tiago Rubin

Bibliographic record

VenueOsgoode Hall law journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsCollège de Bois-de-BoulogneUniversity of Toronto
Fundersnot available
KeywordsDeferenceSupreme courtAssertivenessLawFraming (construction)Political scienceExploratory researchFluencyEmpirical researchSocial psychologySociologyPsychologySocial scienceEpistemologyMathematics education

Abstract

fetched live from OpenAlex

This paper is a first empirical foray in the debate concerning mandatory bilingualism for Supreme Court judges in Canada. The paper summarizes the main arguments, discusses the framing of bilingualism as a “legal” or an “identity” requirement, and uses empirical data to assess whether unilingualism has had an impact on four dimensions of the decision-making process at the Supreme Court of Canada: panel composition, assertiveness, individual caseloads and deference towards lower courts by unilingual and bilingual judges. Our results suggest that there is a correlation between the fluency in French and the first three elements but that there is no difference in the level of deference across linguistic groups towards francophone lower courts. Even if the paper is exploratory in nature and warrants further research, the general picture that emerges is that language proficiency superimposes itself as another kind of legal specialization in the inner-working of the Court.

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 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 score0.738
Threshold uncertainty score0.998

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 studies0.0030.002
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 head0.060
GPT teacher head0.342
Teacher spread0.282 · 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
Published2018
Admission routes3
Has abstractyes

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