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Record W1764645577 · doi:10.3138/utlj.2660

Taking purposes seriously: The purposive scope and textual bounds of interpretation under the Canadian Charter of Rights and Freedoms

2015· article· en· W1764645577 on OpenAlexvenueaboutno aff
Benjamin J. Oliphant

Bibliographic record

VenueUniversity of Toronto Law Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharterInterpretation (philosophy)JurisprudenceLawSupreme courtConstitutionPolitical scienceLegitimacyContext (archaeology)OriginalismMeaning (existential)Judicial interpretationScope (computer science)Law and economicsSociologyEpistemologyPoliticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

In order for judicial review under the Constitution to be compatible with the rule of law, there must be some tangible constraints on judicial discretion. The author puts forward an account of interpretation under the Charter of Rights and Freedoms that views both the text and purposes underlying it as meaningful constraints on the range of meanings available to interpreters. In particular, the author seeks to demonstrate that purposivism as a method of interpretation can, and frequently has in the Canadian context, operated to narrow the scope of vague and under-determinate constitutional guarantees. The author criticizes more expansive forms of purposivism, which seek not only to inform the meaning of the words included in the Charter but also to give those purposes said to animate the guarantees independent legal force. This point is illustrated with particular reference to the Supreme Court of Canada’s right to vote jurisprudence. The author concludes that these more aggressive approaches to purposivism risk elevating judicially ascertained purposes to the same legal status as the language enacted into law and undermine the defence frequently offered in support of the legitimacy of judicial review under the Charter – that it stems from the deliberate choices of the people.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.805
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.019
GPT teacher head0.240
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2015
Admission routes2
Has abstractyes

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