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Record W2977087706 · doi:10.4000/ethiquepublique.4258

Benefit Corporation : une normativité de concurrence au service de la RSE

2019· article· fr· W2977087706 on OpenAlexvenueno aff
Ivan Tchotourian, Margaux Morteo

Bibliographic record

VenueÉthique Publique · 2019
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesCorporationPhilosophyLaw

Abstract

fetched live from OpenAlex

Les entreprises à mission sociétale (dont la fameuse Benefit Corporation américaine) constituent une innovation majeure du droit des sociétés et de la responsabilité sociétale des entreprises (RSE). Poussée par la finance d’impact, la Benefit Corporation a la particularité de permettre à des sociétés par actions de poursuivre des fins lucratives et sociales. Cette étude s’intéresse à l’instrument normatif à la base de l’émergence de ces entreprises. Elle analyse l’interaction entre les normes pour démontrer qu’il y a hybridation autour d’une normativité originale de « concurrence ». La certification B Corp. constitue la première base normative de ces entreprises. Toutefois, le législateur américain de l’État du Delaware (mais également d’autres États américains) est venu contribuer à cette normativité en adoptant une législation consacrée à la Benefit Corporation. Cette étude met en lumière qu’en matière de Benefit Corporation, autorégulation et réglementation se concurrencent, en rupture avec l’opposition, la substitution, la supériorité ou la complémentarité entre normes traditionnellement soulignées dans la littérature.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.234
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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