Les Défis des PME du Sud et du Nord: Vers leur développement durable
Bibliographic record
Abstract
Les PME representent la majorite du tissu industriel de la plupart des nations et y creent la majorite des emplois. Elles sont devenues les outils qu'utilisent bien des gouvernements et des partenaires au developpement pour reduire la pauvrete et stimuler et diversifier les economies. Dans une perspective comparative, cet ouvrage etudie l'entrepreneuriat dans trois pays de culture et de niveau economique differents, malgre leur appartenance commune a l'espace de la Francophonie : un pays industrialise et membre du G8, le Canada, un pays emergent et membre de l'Union europeenne, la Roumanie, et un pays en voie de developpement d'Afrique et exportateur de petrole, le Congo Brazzaville. L'etude s'inscrit dans le contexte de l'analyse institutionnelle et integre, notamment, la culture du developpement durable, visant a mettre en evidence l'impact de divers facteurs sur les specificites du comportement entrepreneurial des PME. Les auteurs avancent que la promotion des PME dependra fondamentalement de la capacite a generer des institutions de qualite qui jouent un role determinant dans une meilleure coordination marchande.
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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 | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".