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Record W4389333524 · doi:10.7202/1105874ar

IMPLICIT COMPARATIVE LAW

2013· article· fr· W4389333524 on OpenAlexfundvenueno aff
Roderick A. Macdonald, Kate Glover

Bibliographic record

VenueRevue de droit Université de Sherbrooke · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
FundersUniversity of OxfordUniversity of CambridgeMcGill UniversityLouisiana State University
KeywordsLawPolitical scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

La littérature contemporaine en droit comparé est tributaire, tant dans ses aspects méthodologique que théorique, de réflexions méticuleuses et fouillées cherchant à identifier l'essence, les objectifs et les limites de la discipline. Malgré les contributions créatives de ces démarches, la plupart des analyses demeurent attachées aux conceptions du droit définies par les frontières traditionnelles, que celles-ci soient officielles, explicites ou externes. Cet article s'attarde plutôt à imaginer le droit comparé débarrassé de ses liens avec le positivisme étatique, lui préférant une approche fondée sur le pluralisme juridique. Dans cette perspective, les individus plutôt que les agents des systèmes officiels sont les acteurs au coeur du juridique (et du comparé). De plus, cette approche ne présume pas la supériorité des formes explicites de normativité, reconnaissant autant d'influence aux éléments implicites inhérents à tout ordre juridique. Finalement, elle valorise les comparaisons en jeu dans les actes quotidiens et les interactions de tous les jours entre les individus. Ultimement, l'article offre une réponse à la question : les comparaisons de qui, de quel droit, selon quels axes, par quelle méthode, dans quel but?

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)0.007
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 score0.034
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.012
Scholarly communication0.0070.009
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0340.004

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 head0.017
GPT teacher head0.242
Teacher spread0.226 · 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
Published2013
Admission routes2
Has abstractyes

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Same venueRevue de droit Université de SherbrookeSame topicConflict of Laws and JurisdictionFrench-language works237,207