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Record W2809595885 · doi:10.29173/alr1396

The Supreme Court of Canada and the Alberta Court of Appeal: Do the Top Courts Have a Fundamental Philosophical Difference of Opinion on Public Law Issues

2001· article· en· W2809595885 on OpenAlexafffundvenueabout
Barbara Billingsley, Bruce P. Elman

Bibliographic record

VenueAlberta Law Review · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of WindsorUniversity of Alberta
FundersUniversity of AlbertaUniversity of Windsor
KeywordsAppealSupreme courtLawMajority opinionConcurring opinionLaw of the caseCourt of recordPolitical sciencePrecedentRemand (court procedure)Original jurisdictionCriticismSociology

Abstract

fetched live from OpenAlex

Prompted by the marked clash between the Supreme Court of Canada and the Alberta Court of Appeal in R. v. Ewanchuk, the authors ask whether this conflict is indicative of a fundamental divergence of opinion between the two courts. To answer this question, the authors embark on a review of all 132 public law cases appealed from the Alberta Court of Appeal to the Supreme Court of Canada between 1982 and December 2000. The authors examine these cases to determine the extent of the Supreme Court’s overt criticism of the reasoning employed by the Alberta Court of Appeal. While acknowledging the obvious difficulties of subjecting this data to precise analysis, the authors find that the data reveals some predictable patterns regarding the manner in which the two courts react to certain public law questions. The authors conclude that there are some fundamental philosophical differences between the courts, a finding which indicates that the class between the courts in the Ewanchuk case was not a completely unique or unpredictable circumstance.

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)0.009
metaresearch head score (Gemma)0.034
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: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.491

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0100.012
Scholarly communication0.0110.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.306
Teacher spread0.265 · 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

Citations1
Published2001
Admission routes4
Has abstractyes

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