MétaCan
Menu
Back to cohort
Record W3085945760 · doi:10.7202/1076015ar

Système de gouvernance et stratégie de capital risque industriel des groupes français

2021· article· fr· W3085945760 on OpenAlexvenueno aff
Souad Brinette, Sabrina Khemiri, Ramzi Benkraiem, Anthony Miloudi

Bibliographic record

VenueManagement international · 2021
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Nous étudions l’incidence des mécanismes de gouvernance sur les décisions stratégiques prises par les dirigeants, en particulier celles liées au capital risque industriel (CRI). Ce thème peu débattu par la littérature traitant du marché français mérite d’être approfondi. Notre étude englobe toutes les opérations de CRI initiées par les entreprises du SBF 120 sur la période 2000-2018. Nos principaux résultats mettent en exergue le rôle joué par la structure de propriété, les ressources spécifiques ainsi que le profil de l’actionnariat dans la réalisation des opérations de CRI. Ainsi, ce travail contribue à l’enrichissement du débat sur l’utilité de ces véhicules de financement de l’innovation pour l’économie française.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.224
Teacher spread0.206 · 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 designObservational
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

Citations13
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueManagement internationalSame topicCorporate Finance and GovernanceFrench-language works237,207