Bibliographic record
Abstract
L’article expose le contexte dans lequel en France sont nées, se sont développées, puis ont acquis une forte reconnaissance les recherches en entrepreneuriat et PME. Dans les années 1960, ce contexte n’était pas favorable à la PME. Dans les années 1970, la crise industrielle et la montée des services favorisent l’émergence d’entreprises de petite taille et l’apparition de travaux pionniers. Dans les années 1980, le tissu de PME se développe, incitant au développement de recherches en PME. Dans les années 1990, la création d’entreprises concerne des unités de plus en plus petites, pour devenir, dans les années 2000, un impératif de compétitivité internationale. La France a cependant des difficultés à quitter le modèle fordiste, conservant le primat à la grande entreprise managériale. Au total, de nos jours, le champ académique français de l’entrepreneuriat et PME est vaste, complexe, en restructuration permanente.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".