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Record W2286221447 · doi:10.7202/1034457ar

Le silence des textes constitutionnels canadiens - expression d’une constitution encore inachevée

2015· article· fr· W2286221447 on OpenAlexaffvenueabout
Dave Guénette

Bibliographic record

VenueLes Cahiers de droit · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSilenceHumanitiesConstitutionPhilosophyAuteur theoryArtPolitical scienceArt historyLaw

Abstract

fetched live from OpenAlex

À travers le prisme de la thématique du silence, l’auteur propose d’étudier la nature incomplète et l’état de désuétude de la Constitution canadienne. La conception du silence élaborée dans sa démonstration dépasse le simple mutisme, le vide ou l’omission pour s’étendre au « malaise » et à l’« hypocrisie » constitutionnelle. C’est à l’aide de cette conception, et en se basant sur la théorie des constitutional abeyances, que l’auteur veut démontrer que la Constitution canadienne regorge de silences substantiels, témoignant ainsi de son inachèvement. L’origine et les conséquences de ces silences qui transcendent l’ordre constitutionnel canadien sont également un objet d’analyse. Plus généralement, l’auteur critique aussi le rôle que joue la formule d’amendement dans le maintien du silence constitutionnel au Canada.

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)0.004
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: Other
Teacher disagreement score0.571
Threshold uncertainty score0.853

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.033
Scholarly communication0.0090.004
Open science0.0020.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.276
Teacher spread0.238 · 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
GenreOther

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
Published2015
Admission routes3
Has abstractyes

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