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Record W2272219748 · doi:10.1017/s0841820900002460

Unconstitutionality, Invalidity, and Charter Challenges

2002· article· en· W2272219748 on OpenAlexaffabout
Michael Giudice

Bibliographic record

VenueCanadian Journal of Law & Jurisprudence · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCharterMoralityPositivismLegal positivismLawDutyPolitical sciencePoliticsConstitutionalitySociologyLaw and economicsConstitutionLegal realismLegal profession

Abstract

fetched live from OpenAlex

Inclusive legal positivism maintains that the existence and content of laws may, but need not, depend on standards of morality. As Wil Waluchow argues, inclusive positivism derives much of its plausibility through its explanation of Charter societies such as Canada. On his account, the fundamental rights of political morality contained in the Canadian Charter of Rights and Freedoms serve as ultimate criteria of the existence or validity of all laws in Canada, and thus form part of Canada’s rule of recognition. In this paper I challenge Waluchow’s inclusive positivist picture of Charter challenges. I argue instead that exclusive legal positivism, which maintains that resort to moral reasons may never figure in determinations of the existence or content of laws, better captures our ordinary understanding of the authoritative role of judges, constitutionality, and the traditional positivist conception of legal validity as a matter of social fact. Specifically, I argue that Joseph Raz’s notion of a directed law-making power, and not reliance on an inclusive positivist rule of recognition, best explains the duty of judicial review in Charter cases. Further, the fundamental rights of political morality recognized in the Charter are best understood as constitutional objectives, and not criteria of validity, which all subordinate laws in Canada ought to respect, yet may fail to do so in practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.953

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 studies0.0010.002
Scholarly communication0.0000.001
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 head0.119
GPT teacher head0.316
Teacher spread0.197 · 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 designNot applicable
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

Citations3
Published2002
Admission routes2
Has abstractyes

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