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Record W4320514211 · doi:10.17118/11143/19154

Les droits réels de jouissance spéciale peuvent-ils être un outil au service d’une communauté? Réflexions à partir du droit français

2021· article· fr· W4320514211 on OpenAlexvenueno aff
Victor Poux

Bibliographic record

VenueRevue de droit Université de Sherbrooke · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtSociologyComputer science

Abstract

fetched live from OpenAlex

Le droit des biens français s’est construit sur un mythe, celui du numerus clausus des droits réels. Depuis 2012, la Cour de cassation a cependant reconnu la possibilité de constituer des droits réels sui generis portant sur des utilités précises d’un bien : les droits réels de jouissance spéciale. Si ces droits réels sui generis ont fait l’objet de nombreux commentaires, il apparaît que leurs potentialités collectives – voire communautaires – n’ont que peu été étudiées. Il semblerait cependant qu’elles existent. En effet, en octroyant une jouissance limitée et restreinte d’une ou plusieurs utilités du bien, les droits réels de jouissance spéciale réaliseraient un partage des usages du bien entre différents titulaires de droits. Dans une logique communautaire, ce mécanisme d’inclusion permettrait de reconnaître à chacun des membres de la communauté un droit direct sur le bien tout en étant, dans le même temps, un potentiel outil pour la réalisation de l’intérêt communautaire.

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)0.005
metaresearch head score (Gemma)0.012
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: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.010
Scholarly communication0.0110.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.026
GPT teacher head0.254
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".

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Citations0
Published2021
Admission routes1
Has abstractno

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