Croissance, transmission… une équipe pluridisciplinaire pour répondre aux problématiques des entreprises familiales
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".