Demande et offre du financement agricole institutionnel dans la région de Beni – Butembo
Bibliographic record
Abstract
Le secteur agricole contribue largement à l’économie nationale. La question de son financement n’est pas encore résolue tant au niveau national que local. Malgré les potentiels agricole et financier qui existent, les réticences sont encore énormes quant à l’implication de différents acteurs financiers tant publics que privés de sorte que le grand problème auquel sont confrontés les producteurs agricoles dans la région de Beni – Butembo est le non-accès au financement. Ainsi, face à une demande agricole croissante, une offre publique de financement en formation diminution et une frilosité de l’offre privée, des efforts devraient être fournis pour améliorer la contribution de la microfinance au financement des agricultures familiales.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".