Bibliographic record
Abstract
Ce texte est construit à partir des arguments des attendus de la fable de l’entrepreneuriat, dont la fablede la croissance, le magma des PME de la fable de l’entrepreneuriat et la fable de la confusion entre entrepreneuriat et dispositifs habilitants. Nous étudierons la maxime oubliée de la fable de l’entrepreneuriat, Réfléchir avant d’agir, au regard du point de vue de ce que sont un entrepreneur et l’entrepreneuriat. Nous nous pencherons sur l’incubation et les incubateurs, sur les facteurs de motivation entrepreneuriale à partir des théories du financement incitatif (push and pull), sur les profils de l’entrepreneur, sur l’accompagnement, sur l’entrepreneuriat genré ainsi que sur l’entrepreneuriat universitaire pour effectuer la démonstration associée à la maxime oubliée. Une conclusion abordera la synthèse des bases de l’économie de l’entreprendre en contexte africain. This text is built on the arguments of the expectations of the entrepreneurship fable, namely the growth fable, the SME mixture of the entrepreneurship fable and the fable of the confusion between entrepreneurship and empowering mechanisms. We will investigate the forgotten maxim of the entrepreneurship fable, “Think before you act”, from the point of view of what an entrepreneur is and what entrepreneurship is. We will also analyze business incubation and incubators, entrepreneurial motivation factors using the push and pull funding theories, entrepreneur profiles, entrepreneurial support, gendered entrepreneurship and university entrepreneurship to complete the demonstration associated with the forgotten maxim. A conclusion will address the question of the foundations of entrepreneurship in the African context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".