Signaux forts et signaux faibles : une enquête sur les liens réticulaires dans les PME dynamiques
Bibliographic record
Abstract
Contrairement la thorie noclassique qui ne voyait dans l'conomie que des firmes en concurrence ayant pour seul objectif la maximisation des profits, on sait maintenant que non seulement le dveloppement passe par le rseautage entre celles-ci, mais que la qualit des rseaux est un des facteurs importants de leur dynamisme dans les rgions. Les entreprises les plus performantes en termes de recours aux nouvelles technologies et l'innovation ou en termes de production complexe sont notamment relies des sources loignes ou signaux faibles qui voluent rapidement selon leurs besoins et leurs comptences. La recherche dont ce texte fait tat, ralise dans une rgion qubcoise, montre de faon empirique que les PME manufacturires les plus innovatrices font affaire avec des rseaux loigns des relations traditionnelles des entreprises, que l'on peut assimiler des rseaux signaux gnralement faibles.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".