The Habermasian perspective of digital entrepreneurship: A roadmap for the evolution of the field
Bibliographic record
Abstract
La recherche sur l’entrepreneuriat numérique (EN) a considérablement augmenté, mais malgré les contributions de la littérature existante, une perspective cohérente de l’évolution potentielle du domaine fait toujours défaut. Les auteurs s’appuient sur la théorie critique de Jurgen Habermas pour fournir un cadre complet qui permettra aux universitaires et aux praticiens de l’entrepreneuriat numérique (EN) de développer un programme commun touchant la conceptualisation et la théorisation. À cet égard, cet article contribue aux efforts antérieurs visant à consolider la légitimité de l’entrepreneuriat numérique (EN) en tant que domaine de recherche en entrepreneuriat. De plus, cette recherche met en évidence les fondements philosophiques et sociaux de l’entreprenariat numérique (EN).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".