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Record W2918462633 · doi:10.7202/1056402ar

Les fondements anthropologiques des droits de l’Homme

2019· article· fr· W2918462633 on OpenAlexvenueno aff
Norbert Rouland

Bibliographic record

VenueRevue générale de droit · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

L’article traite des apports possibles de l’anthropologie juridique à la théorie des droits de l’homme. L’auteur situe ces derniers face à la crise de la modernité : remise en cause du rôle de l’État comme producteur et garant des D.H.; contestation du caractère universel des D.H. au nom de la diversité culturelle. La démarche anthropologique, axée sur la recherche d’une théorie unitaire du droit, sur le comportement réel des acteurs et sur l’acceptation du pluralisme, semble propre à jeter un éclairage utile sur ces questions, en s’interrogeant sur les représentations qui sont à la base des diverses conceptions des D.H. Les nouvelles orientations du droit international et la reconnaissance croissante des droits des peuples autochtones appellent une redéfinition du contenu et de la portée des D.H. qui tiendrait compte à la fois d’un noyau intangible de droits, fondés sur des valeurs communes à tous les patrimoines culturels et systèmes sociaux, ainsi que de la dimension culturelle et collective des D.H.

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)0.003
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.014
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.090
GPT teacher head0.381
Teacher spread0.292 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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