Financement de la petite et moyenne entreprise à Toumodi (Côte-d'lvoire) : l'illusion informelle
Bibliographic record
Abstract
Au premier rang des préoccupations actuelles de la recherche dans le domaine du financement de la PME africaine, figure, notamment, révaluation des parts occupées par les circuits institutionnels (officiels) et par les réseaux informels, ainsi que l’appréciation du potentiel de soutien dynamique aux activités d’entreprise représenté par les concours non bancaires. Une enquête menée en Côte-d’Ivoire, auprès de chefs de petites et moyennes entreprises, met en évidence le rôle essentiel joué par l’autofinancement, la rareté des crédits officiels, mais aussi la place très secondaire des concours informels. La nature réelle du processus d’accumulation en vigueur au sein des PME africaines doit conduire en fait à ne pas exagérer l’importance de l’obstacle financier au développement de ces entreprises et, parallèlement, à ne pas fonder de trop grands espoirs sur l’explosion, souhaitée par certains, de l’offre informelle de services financiers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".