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Record W3011226166

Amending Authors and Constitutional Discourse

2002· article· en· W3011226166 on OpenAlexaboutno aff
Barbara Darby

Bibliographic record

VenueeYLS (Yale Law School) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceLawConstitutional law
DOInot available

Abstract

fetched live from OpenAlex

The author surveys various theories related to the concept of constitutional amendment, reviewing the importance of the notion of authorship to the amending process, and the related theories about constitutional legitimacy and judicial activism. In seeking an alternative conceptualization of authorship that is applicable to constitutional amendment, she reviews Michel Foucault's essay on authorship, and specifically his notion of the transdiscursive author who originates a "return" to an original text, which she presents as a useful context in which to read the constitutional amendment process. Constitutional discourse, using Foucault's approach to discourse, occupies a significant cultural and social position. She then provides a reading of four Supreme Court of Canada judgments on the issue of constitutional amendment (The Senate Reference, the Patriation Reference, the Quebec Veto Reference, and the Secession Reference), arguing that the Court moves towards a discursive view of Canadian constitutionalism and amendment that conceptualizes the legitimate amending authors of the Canadian constitution as the Canadian people, recognizing the relevance of the Constitutional text itself, the nature of Canadian democracy, regionalism, and Charter values. Thus, the author argues, the Court's analysis of constitutional amendment provides a significant moment in nation building by constituting Canadian citizens as self-governing, self-constituting, and self-writing.

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)0.010
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.033
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.006
Science and technology studies0.0150.055
Scholarly communication0.0180.011
Open science0.0020.005
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.031
GPT teacher head0.306
Teacher spread0.275 · 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 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

Citations1
Published2002
Admission routes1
Has abstractyes

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