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Record W2338914764 · doi:10.7202/1035625ar

Juridicité et normativité dans la théorie sociojuridique de R.A. Macdonald

2016· article· fr· W2338914764 on OpenAlexaffvenueabout
Michel Coutu

Bibliographic record

VenueRevue générale de droit · 2016
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La théorie sociologique du droit, développée par le professeur Roderick A. Macdonald (Université McGill) sur des bases fort originales, s’inscrit dans la perspective d’un pluralisme juridique critique. Pour mieux en saisir la spécificité et la fécondité, l’auteur propose de comparer cette théorie avec l’approche qui fut défendue par Max Weber, l’une des figures les plus importantes de la discipline. La comparaison fait apparaître un nombre significatif de convergences, tant sur le plan épistémologique et méthodologique que sur le plan substantif. Elle met également en lumière certaines divergences fondamentales qui portent sur la définition du droit et le concept de norme. A cet égard, l’auteur croit que l’approche wébérienne présente l’avantage de livrer, à titre heuristique, des critères permettant de délimiter un champ spécifique du juridique, alors que la théorie de Macdonald, en dépit d’apports indéniables, n’autorise pas une distinction adéquate entre la normativité sociale et la normativité juridique.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.030
Scholarly communication0.0070.008
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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
Published2016
Admission routes3
Has abstractyes

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