Taxonomie des profils de motivation chez les étudiants déclarant une aspiration à l’identité entrepreneuriale
Bibliographic record
Abstract
Notre recherche ambitionne d’identifier, à l’aide d’une classification inductive, différents profils de motivations chez les étudiants ayant une aspiration entrepreneuriale. L’analyse de onze facteurs de motivations entrepreneuriales au sein d’un échantillon de 256 répondants a tout d’abord permis de faire émerger une taxonomie spécifique composée de six profils distincts. La réalisation de plusieurs analyses en covariance a ensuite permis de démontrer que le degré d’intention entrepreneuriale varie significativement selon le profil mais seulement lorsque les résultats sont contrôlés par certaines variables individuelles (le sexe, l’âge, le niveau d’étude, la formation en entrepreneuriat et l’expérience entrepreneuriale personnelle).
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".