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Record W1988531281 · doi:10.7202/043174ar

Ordre normatif interne et organisations

2005· article· fr· W1988531281 on OpenAlexaffvenue
Daniel Mockle

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Cette première étude sur le thème de la normativité est consacrée à une dimension qui n'a guère retenu l'attention dans une perspective globale : l'appréhension des normes internes par le droit positif, tant pour les organisations privées que publiques. En dépit de son importance pour comprendre la dynamique organisationnelle de la normativité, cette dimension a été négligée au profit d'une réflexion traditionnellement orientée vers le monopole de la fonction législative et réglementaire par l'ordre juridique étatique. Dans le cadre d'une analyse de droit administratif, cette contribution vise à comprendre l'origine et le statut de ces pratiques normatives dans le fonctionnement des ordres juridiques internes. Insatisfait des explications trop formalistes du droit positif (droit privé et droit public), l'auteur attribue une essence institutionnelle à la normativité pour montrer que la technique juridique procède d'une rationalité purement instrumentale afin de répondre aux besoins des organisations complexes.

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)0.007
metaresearch head score (Gemma)0.013
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 score0.012
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.019
Scholarly communication0.0120.008
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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

Citations3
Published2005
Admission routes2
Has abstractyes

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