Mères et entrepreneures : étude de la motivation entrepreneuriale des mampreneurs françaises1
Bibliographic record
Abstract
Dans cet article nous développons une recherche approfondie sur les déterminants de la motivation entrepreneuriale des mampreneurs en contexte français. Les résultats de notre étude montrent que les dimensions motivationnelles des mampreneurs françaises sont diverses et non mutuellement exclusives. Au-delà de la conciliation travail-famille, la recherche de satisfaction, d’indépendance et de reconnaissance professionnelle sont des facteurs importants de motivation entrepreneuriale pour ces mères entrepreneures. Ils sont cependant conditionnés par des facteurs contextuels perçus au moment de la décision de création et qui sont susceptibles d’évoluer dans le temps. Cet article propose alors un modèle de la motivation entrepreneuriale des mampreneurs qui inclut la prise en compte de différentes strates motivationnelles qui combinent des facteurs psychologiques, économiques et environnementaux.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".