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Record W2037504092 · doi:10.7202/042667ar

La justice constitutionnelle en France

2005· article· en· W2037504092 on OpenAlexaffvenueabout
Louise Favoreu

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsConstitutionJurisprudenceLawEconomic JusticePolitical scienceConstitutional lawConstitutional courtSociology

Abstract

fetched live from OpenAlex

The 1958 Constitution provided France with a constitutionally based system of justice and although this had been contrary to French traditions — and consequently apprehended at that time — the system has progressively developed and become one of the main elements of the French constitutional regime and at the same time, one of its most dynamic and appreciated components. This article presents the French Constitutional Council: its status, composition and operations. It maps out areas in which this body has had to intervene and, above all, it analyses the jurisprudence of the Council and notes that its most impressive contribution lies in the field of the constitutional review of laws and its main objective, basic personal freedoms. The conclusion of this study is that French constitutional law has undergone radical modifications under this system and that in the future, it has become a fertile ground for comparative studies for the Canadian jurist due to the constitutional review of laws in the name of personal freedoms.

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)0.010
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: Empirical · Consensus signal: none
Teacher disagreement score0.511
Threshold uncertainty score0.984

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0100.009
Scholarly communication0.0110.003
Open science0.0010.002
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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
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

Citations2
Published2005
Admission routes3
Has abstractyes

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