Les mécanismes de gouvernance mobilisés par les investisseurs en capital dans les opérations de haut de bilan : le cas de l’Owner Buy Out (OBO)
Bibliographic record
Abstract
En adoptant un cadre théorique articulant les théories juridico-financières et cognitives, notre recherche a pour ambition d’expliciter les mécanismes de gouvernance mobilisés par les investisseurs en capital dans le cadre des opérations deOwner Buy Out(OBO). Elle propose une étude qualitative exploratoire et inédite menée auprès de 17 investisseurs opérant sur le territoire français et spécialisés dans les opérations de capital développement et de transmission. Nos résultats mettent en évidence au travers d’une série de propositions le caractère contingent des mécanismes de gouvernance spécifiques aux opérations OBO, lequel dépend étroitement du profil dont se réclame le capital investisseur.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".