La passion entrepreneuriale : revue de littérature et perspectives de recherche
Bibliographic record
Abstract
Le présent article propose une relecture de la littérature sur la passion entrepreneuriale en se basant sur la revue de 104 articles académiques publiés entre 2009 et 2022 dans les principales revues francophones et anglophones relevant du champ de l’entrepreneuriat. Il propose aussi d’apporter un éclairage théorique sur les questions suivantes, rarement abordées selon une perspective intégrative : quelle est l’essence du concept de « passion entrepreneuriale » ? De quoi parle-t-on lorsque l’on évoque la passion entrepreneuriale ? De quoi les entrepreneurs sont-ils passionnés ? Pourquoi certains individus sont-ils plus passionnés par l’entrepreneuriat que d’autres ? Quelles sont les conséquences positives et négatives produites par la passion entrepreneuriale ? En plus de l’identification des tendances des recherches actuelles sur la passion entrepreneuriale, cet article propose également des pistes de recherche futures, qui contribueront à l’enrichissement des connaissances sur ce concept.
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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 | 0.023 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.018 | 0.017 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".