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Record W7000183443

Enhancing constitutional self-understanding through comparative law: an empirical study of the use of foreign case law by the Supreme Court of Canada (1982-2013)

2015· other· en· W7000183443 on OpenAlexaboutno aff

Bibliographic record

VenueSussex Research Online (University of Sussex) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCharterSupreme courtJurisprudenceHuman rightsJudicial reviewConstitutional courtCommon lawConstitutional lawContext (archaeology)Fundamental rights
DOInot available

Abstract

fetched live from OpenAlex

Since the enactment of the 1982 Charter of Rights and Freedoms, the Supreme Court of Canada has established itself as one of the most progressive and genuinely global constitutional judges in the world. The Charter - inspired by the United States Bill of Rights and several international human rights documents - prompted the Court to refer to an extensive range of foreign jurisdictions, including Australia, Israel, New Zealand, South Africa, the United Kingdom and the United States. \nThe purpose of this work is to achieve a better understanding of the decision-making process informing the Court’s activity in today’s globalized legal context and of the role played by the Charter in this process. To this purpose, the contribution presents an empirical quantitative and qualitative analysis of the Court’s judgments issued between 1982 and 2013 and shows that the Court, in deciding constitutional cases and interpreting the newly enacted Charter has consistently considered other jurisdictions. Indeed, in referring to cases decided by - among others - American, Australian, British and various European courts, the Court has, over the years, established its Charter jurisprudence by drawing critical inspiration from foreign judicial decisions and by adapting their legal principles to the unique features of Canada’s legal system and society, ultimately enhancing the Court's constitutional understanding of the Canadian legal systems through the use of comparative law and foreign legal sources.

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)0.014
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.053
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.015
Science and technology studies0.0440.027
Scholarly communication0.0160.007
Open science0.0030.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.331
GPT teacher head0.398
Teacher spread0.067 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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Same venueSussex Research Online (University of Sussex)French-language works237,207