L’intégration du successeur dans l’équipe de gestion des entreprises familiales : le cas des femmes chefs d’entreprise
Bibliographic record
Abstract
La problématique de la relève dans les entreprises familiales préoccupe de plus en plus les chercheurs et les professionnels du milieu des affaires. Étant donné le nombre très important de transferts et la fréquence de leurs échecs, comment peut-on parler de relève sans s’intéresser à l’intégration du successeur dans l’équipe de gestion en vue d’assurer la pérennité de l’entreprise familiale ? De plus, compte tenu de l’importance grandissante de l’apport des femmes chefs d’entreprises dans l’économie des pays, l’objectif de cet article est de faire un survol des différents travaux qui portent, d’une part, sur le transfert managérial dans une optique d’intégration et, d’autre part, sur la particularité du style féminin des femmes chefs d’entreprises lors de l’intégration de leurs successeurs.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".