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Record W2073400421 · doi:10.7202/043832ar

Un code à décoder : le futur code civil chinois

2005· article· fr· W2073400421 on OpenAlexaffvenue
Hélène Piquet

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArtCivil codeLaw

Abstract

fetched live from OpenAlex

Depuis la réouverture de la Chine à l’Occident en 1978, le législateur chinois fonde largement les réformes juridiques sur les transferts de droit. C’est dans ce contexte qu’il faut situer, entre autres, le dépôt d’un projet de code civil chinois le 24 décembre 2002 à l’Assemblée populaire nationale de Chine. Si un tel projet dénote sans conteste l’influence d’un code à l’étranger, il soulève plusieurs questions. Quel sens revêt, dans le contexte chinois, cette entreprise de codification ? Quels obstacles, le cas échéant, se dressent sur la route de la future codification ? Le texte qui suit retrace d’abord le rapport de la Chine avec la tradition romano-germanique au début du xxe siècle et se poursuit avec un exposé des débats entourant le processus de codification en cours.

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)0.008
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 score0.098
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.014
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.003
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 head0.241
Teacher spread0.228 · 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

Citations0
Published2005
Admission routes2
Has abstractyes

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