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L’EXIGENCE DE SECURITE JURIDIQUE : « LE FAIRE JURIDIQUE » A L’EPREUVE DE LA CONFIANCE COSOCIETAIRE

2020· article· ar· W3106433125 on OpenAlexaff
بیارن میلکفیک

Bibliographic record

Venueالمجلة الدولية للفقه والقضاء والتشريع · 2020
Typearticle
Languagear
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé : Comment comprendre la sécurité juridique ? L’auteur l’envisage en tant qu’une exigence, que les acteurs d’un système juridique s’engagent à respecter, réaliser et perfectionner au bénéfice des justiciables. Il soutient que c’est un faux pas intellectuel de comprendre la « sécurité juridique » exclusivement comme un concept dogmatique ou théorique, là où il convient mieux de la comprendre dans sa pratique et comme une ambition relative au comment « faire-le-droit ». De ce fait, l’auteur cherche à rendre cette exigence plus claire et limpide en analysant comment les acteurs du système juridique comprennent et s’engagent en faveur d’une sécurité complexe comprise à partir des justiciables. Il analyse la sécurité juridique à lumière de l’autonomie du droit ainsi que dans le service qu'elle rend efficacement, adéquatement et juridiquement aux justiciables. Enfin, l’auteur soutient que la sécurité juridique se vérifie exclusivement dans le degré de confiance réelle et honnête que les cosociétaires accordent au système juridique. "Legal certainty" is one of the requirements which a legal system will acquire and which it undertakes to respect.The word "legal certainty" (as well as that of "judicial certainty") will be expressed within a modern legal order. Its ambition is to live up to this aspiration and to optimize it as much as possible. Therefore, legal certainty expresses only a set of prerequisites to be fulfilled and which every man would reasonably wish to see fulfilled, by and within a legal system at his service.This will be the subject of our article. It should be noted, however, that the meaning to be attributed to these requirements is far from being entirely clear, limpid and uncontroversial.

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)0.009
metaresearch head score (Gemma)0.022
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: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.024
Scholarly communication0.0170.009
Open science0.0020.006
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0210.002

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 head0.015
GPT teacher head0.234
Teacher spread0.220 · 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
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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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