Le financement de l'actif immatériel des nouvelles entreprises technologiques et innovantes
Bibliographic record
Abstract
L’importance de l’effort d’investissement induit par la dynamique du processus de développement technologique génère dans les ETI (entreprises technologiques et innovantes), particulièrement celles de création récente ou de taille réduite, un besoin structurel de capital. Ce besoin, contrepartie de l’actif immatériel créé, est couvert, dans le cadre d’une hiérarchie de financement spécifique, d’une manière préférentielle par l’autofinancement, et pour le solde, par un recours privilégié aux capitaux propres, notamment au capital de risque. Certains développements théoriques récents, notamment les travaux de Williamson sur l’adéquation des modes de financement au degré de spécificité des actifs, fournissent un cadre conceptuel original qui permet d’avoir une lecture explicative pertinente du comportement financier des ETI, complémentaire aux éclairages traditionnels de la théorie financière. Reste à approfondir la notion de spécificité appliquée aux actifs pour en renforcer le caractère opératoire.
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.
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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".