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Record W2891096702

Unwritten Constitutional Principles in Canada: Genuine or Strategic?

2018· article· en· W2891096702 on OpenAlexaffabout
David Schneiderman

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConstitutionDissenting opinionLawSupreme courtLegitimacySecessionPolitical scienceFederalismOriginalismNormativeSociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Culminating with the Quebec Secession Reference (1998), the Supreme Court of Canada identified a number of unwritten principles that it described as the ‘lifeblood’ of the Constitution – they ‘infuse our Constitution,’ they wrote, and ‘breathe life into it.’ Having a ‘powerful normative force,’ they even could give rise to ‘substantive legal obligations.’ Since then, the Supreme Court has curiously retreated from this stance, preferring to rely on the written constitution and declining to consider unwritten constitutional principles as altering those substantive commitments. This trend line was most clearly on display in Quebec v. Canada (2015), where the Court resisted having the unwritten constitutional principle of cooperative federalism constrain exercises of unilateral federal authority. Significantly, the three civil law justices from Quebec jointly issued dissenting reasons, having the support of a number of scholars from within Quebec. The Court’s behaviour indicates that the justices were not serious about the role of unwritten constitutional principles going forward. The paper argues that the unwritten constitution was developed in the Secession Reference as a response to legitimacy concerns then facing the Court, which are no longer present. Judges and scholars from Quebec mistook these signals as genuinely novel legal developments rather than strategic responses designed to get the Court out of a jam.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.285
Teacher spread0.252 · 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

Citations12
Published2018
Admission routes2
Has abstractyes

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