Le capital social dans un réseau communautaire de PME : un rôle-clé pour l’émergence et l’institutionnalisation du réseau
Bibliographic record
Abstract
Les réseaux d’entreprises s’imposent comme une forme d’organisation incontournable du système productif contemporain. La théorie du capital social fournit une grille originale (Nahapiet et Ghoshal, 1998) pour comprendre leur développement. Nos objectifs sont d’analyser la construction du capital social pour identifier les facteurs du développement des réseaux d’entreprises. La recherche porte sur l’étude d’un réseau Français de trente PME, spécialisé dans la filière du travail des métaux. À l’heure où les pouvoirs publics s’interrogent sur les conditions de réussite des réseaux d’entreprises labellisés, nos résultats proposent un éclairage complémentaire sur leur construction et plus spécifiquement sur l’émergence et la mobilisation du capital social.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".