Le rôle déterminant de la perspective temporelle dans la vigilance entrepreneuriale : propositions et modèle théoriques
Bibliographic record
Abstract
De nombreux articles en psychologie montrent que l’ensemble des points de vue que l’individu a de son passe, de son present et de son futur (sa perspective temporelle) exerce une influence sur ses cognitions et ses comportements. Nous etendons les resultats de ces articles au champ de l’entrepreneuriat et suggerons que la perspective temporelle influence la vigilance de l’entrepreneur (elle agit comme un determinant qui precede la vigilance). Notre contribution theorique cherche alors a mieux comprendre le role que joue la perspective temporelle dans certains aspects essentiels de l’entrepreneuriat comme la vigilance entrepreneuriale (c'est-a-dire, la capacite de l’entrepreneur a voir les opportunites negligees par d’autres). L’objectif principal de notre contribution theorique est de construire des propositions et un modele reliant la perspective temporelle selon Zimbardo et Boyd (1999) et la vigilance entrepreneuriale selon Tang, Kacmar et Busenitz (2012). La mise en rapport de ces deux conceptualisations constitue l’apport principal de notre contribution theorique. Une discussion, des implications, des limites et des directions pour les recherches futures sont egalement presentees.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".