La revitalisation des régions de tradition industrielle : le rôle des PME et du milieu
Bibliographic record
Abstract
Certaines régions de tradition industrielle ont montré qu’elles pouvaient revitaliser leur système de production. Elles sont capables de mutations (la mutation est un événement à caractère plus ou moins aléatoire qui introduit un changement à l'intérieur des éléments constitutifs d'une entité). Ces mutations se manifestent par une recombinaison de leurs composantes qui, en liaison avec une partie du potentiel d’origine, donne naissance à un caractère nouveau. Il est donc important d'analyser les capacités d'un tissu industriel traditionnel à provoquer des phénomènes d'adaptation et d'innovation technologique. A partir d’une impulsion initiale, on observera comment les entreprises adaptent leur processus de production, en tenant compte des compétences, des opportunités et du potentiel existant dans leur environnement. Cette recomposition du système économique local, dépend de l’émergence des PME, de leur ancrage régional et du milieu.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".