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Record W2021820363 · doi:10.7202/043401ar

L'enseignement du droit en Chine et ses perspectives d'avenir

2005· article· fr· W2021820363 on OpenAlexvenueno aff
Li Jiaxiang, Li Xu

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Ce texte dresse un tableau de l'enseignement du droit en Chine après quinze ans de développement accéléré. Il décrit les trois niveaux deformation offerts dans les établissements d'enseignement supérieur (formation spécialisée, formation universitaire, études avancées), et expose le contenu des programmes de sciences juridiques. Il signale également le développement notable de la formation juridique parascolaire, sous ses diverses formes. Les auteurs exposent ensuite les conditions générales dans lesquelles va se poursuivre le développement de l'enseignement du droit, et notamment celles qui découlent des réformes économiques. Ils précisent les orientations prévisibles de l'enseignement vers la formation de juristes polyvalents d'un haut niveau de compétence. Ils décrivent les programmes pilotes et les nouveaux programmes d'études avancées mis en place dans divers établissements, ainsi que le développement de programmes interdisciplinaires combinant droit et économie, droit et technologie, ou droit et gestion du commerce international.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0070.020
Scholarly communication0.0090.006
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0170.001

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 head0.012
GPT teacher head0.282
Teacher spread0.270 · 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 designQualitative
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 routes1
Has abstractyes

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