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Record W3023174669 · doi:10.3917/entin.044.0059

Croissance, transmission… une équipe pluridisciplinaire pour répondre aux problématiques des entreprises familiales

2020· article· fr· W3023174669 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEntreprendre & Innover · 2020
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Johan Gaulin (Associé EY – Responsable du marché des entreprises familiales en France) et Franck Van Hassel (Associé EY – Responsable de la Direction de la fiscalité privée et des entreprises familiales – Paris) partagent leurs regards d’experts en tant qu’interlocuteurs privilégiés auprès des entreprises familiales françaises. Pour passer l’épreuve du temps, ces sociétés font face à des enjeux de développement, d’innovation, de croissance… À cela s’ajoutent les enjeux de gouvernance, de succession, de gestion d’entrées et de sorties des membres de la famille, de transmission de la culture entrepreneuriale. Ces sujets sont souvent tabous au sein de la famille et débouchent régulièrement sur une incapacité à anticiper les enjeux de transmission. C’est pourquoi l’accompagnement proposé par EY permet de proposer des solutions adaptées aux enjeux de l’entreprise et à chaque contexte familial.

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.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.006
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.034
GPT teacher head0.256
Teacher spread0.222 · 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