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Record W2784108017 · doi:10.7202/1042754ar

La Couronne : vecteur du fédéralisme canadien

2018· article· fr· W2784108017 on OpenAlexaffvenueabout
Julien Fournier, Amélie Binette

Bibliographic record

VenueLes Cahiers de droit · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

En ce 150e anniversaire de l’Acte de l’Amérique du Nord britannique, 1867, l’article qui suit explore la manière dont les règles non écrites et les conventions concernant la Couronne dans le système de Westminster, en général, et la règle de l’indivisibilité de la Couronne, en particulier, ont servi à augmenter le prestige et les pouvoirs des exécutifs provinciaux au sein de la fédération canadienne, et ce, malgré un texte semblant hiérarchiser l’État fédéral au regard des provinces. D’abord, le texte présente les principales règles concernant la Couronne et le rôle de cette dernière dans la structure constitutionnelle, pour, par la suite, observer la manière dont l’exercice de la prérogative royale par les gouvernements canadiens a permis d’augmenter leur autonomie par rapport aux autorités impériales. Puis il analyse l’ambivalence des constituants lors de la genèse du fédéralisme canadien relativement au rôle des provinces ; finalement, il démontre, entre autres, par une analyse de la jurisprudence, comment le droit non écrit et les conventions constitutionnelles ont favorisé les provinces.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.603
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.014
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.005
GPT teacher head0.199
Teacher spread0.193 · 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

Citations0
Published2018
Admission routes3
Has abstractyes

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