L' entrepreneuriat technologique : ses parties prenantes et leurs implications
Bibliographic record
Abstract
Étant moins bien connu et documenté que l’entrepreneuriat conventionnel, l’entrepreneuriat technologique se distingue par son processus d’innovation gravitant principalement autour de la création d’une technologie. Ce projet de recherche vise à mieux comprendre le rôle des parties prenantes au sein de l’écosystème entrepreneurial lors de projets d’innovation technologique. Basées sur une approche exploratoire, 11 entrevues semi-structurées ont été réalisées en 2017 auprès d’entrepreneurs qui créent des technologies diverses dans la province de Québec au Canada. L’analyse de ces entrevues a permis d’identifier les implications des parties prenantes dans les trois phases du processus d’innovation technologique : la conception, la mise en oeuvre et le marketing. Par conséquent, cette recherche fournit non seulement des recommandations pour les entrepreneurs technologiques, mais aussi des pistes de recherche.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.023 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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; 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".