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Record W3023244763 · doi:10.7202/1068780ar

La conception jurisprudentielle de la notion de « confiance du public dans l’administration de la justice pénale »

2020· article· fr· W3023244763 on OpenAlexaffvenueabout
Julie Desrosiers

Bibliographic record

VenueLes Cahiers de droit · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceAdministration of justicePhilosophyLaw

Abstract

fetched live from OpenAlex

L’auteure s’intéresse à l’interprétation jurisprudentielle de la « confiance du public dans l’administration de la justice ». Régulièrement invoquée par la Cour suprême du Canada à titre de considération sous-jacente en matière d’indépendance judiciaire, de publicité des débats et de célérité des procédures, la « confiance du public dans l’administration de la justice » tend à s’autonomiser pour devenir un critère décisionnel à part entière. L’auteure examine particulièrement deux cas de figure, soit le rejet d’une preuve suivant l’article 24 (2) de la Charte canadienne des droits et libertés ainsi que le maintien en détention avant procès d’un accusé selon l’article 515 (10) c) du Code criminel. À l’issue de son étude, l’auteure conclut que la nécessité de maintenir la confiance du public dans l’administration de la justice peut justifier des réformes législatives ou jurisprudentielles qui opèrent sur le plan systémique, mais qu’elle peut difficilement fonder une décision dans un cas d’espèce.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.188
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0100.059
Scholarly communication0.0190.007
Open science0.0020.004
Research integrity0.0090.014
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 head0.022
GPT teacher head0.299
Teacher spread0.276 · 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 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

Citations1
Published2020
Admission routes3
Has abstractyes

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