Les entrepreneurs des secteurs technologiques : leur profil, leurs motivations et leurs actions
Bibliographic record
Abstract
Résumé Plusieurs études ont analysé les profils et les motivations des entrepreneurs; cependant, peu de recherches ont porté sur les innovateurs des domaines technologiques qui décident de créer leur entreprise. Cette étude porte sur la trame entrepreneuriale d’un groupe de 44 innovateurs-entrepreneurs canadiens. On y décrit les antécédents, les principales motivations, les capacités, les attitudes, ainsi que les actions déterminantes de la réussite. Le suivi du démarrage des entreprises opérationnelles nous démontre que ce sont les entrepreneurs qui ont opté pour la familiarité et la simplicité du concept qui ont réussi en moins de deux ans à générer des revenus dans une stratégie de petits pas et de contrôle, même avec des moyens modestes.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".