Des réseaux de l’entrepreneur aux ressorts du créatif : quelles stratégies pour les territoires ?
Bibliographic record
Abstract
Cet article propose un cadre d’analyse original du comportement entrepreneurial dès lors que celui-ci repose sur un double encastrement : encastrement social d’abord, encastrement territorial ensuite. Nous posons les fondements de l’innovation disruptive comme reposant sur le triptyque confiance – capital social – créativité. L’articulation des liens sociaux forts et des liens sociaux faibles est au cœur de ce processus. À mesure que les liens faibles apparaissent prégnants, les territoires doivent s’engager dans des stratégies de mise à disposition de ressources relationnelles, d’une part, soit des institutions locales favorisant la confiance et, d’autre part, soutenir et promouvoir les conditions d’absorption de ces ressources par la mise à disposition de lieux physiques où échanger.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".