Production documentaire et statistique sur le coton, le palmier à huile, le lait, l'apiculture, l'aviculture et le crédit rural en Afrique de l'Ouest et du Centre (AOC): note technique sur l'apiculture
Bibliographic record
Abstract
L’objet de la présente étude est, d’une part, de réactualiser les statistiques sur le coton et l’huile de palme en intégrant les campagnes 2002/03 et 2003/04 et en les généralisant à tous les pays de l'Afrique de l’Ouest et du Centre producteurs et, d’autre part, de produire des notes techniques et statistiques sur le lait, l'apiculture, l'aviculture et le crédit rural. Ceci, en vue d'alimenter la base de données de la CMA/AOC. L’élaboration des notes se fera en collaboration avec l'Union des Producteurs Agricoles du Québec / Département Développement International (UPA-DI), partenaire de la Conférence des Ministres de l’Agriculture de l’Afrique de l’Ouest et du Centre (CMA/AOC)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".