Les titres fonciers autour de Bamako : modes d’accès et impacts sur les usages
Bibliographic record
Abstract
Dans les communes environnantes de Bamako, les ressources naturelles, particulièrement les terres agricoles, sont soumises à une forte pression. Celle-ci se manifeste par une augmentation croissante du nombre de titres fonciers (TF) pendant ces dernières années. Les communes périurbaines de Bamako comptaient en décembre 2010 43 694 TF avec une superficie de 56 164 hectares, 83 ares et 59 centiares. L’augmentation significative des TF profite peu ou pas à la production agricole. Les usages de la terre étant constamment modifiés, les terres acquises par les nouveaux acquéreurs (les Bamakois) sont utilisées dans la plupart des cas comme un moyen de thésaurisation foncière pour de futurs terrains d’habitations. C’est ainsi qu’environ 70 % des TF ont vocation d’habitation. L’approvisionnement des populations bamakoises en céréales et légumes, que les paysans assuraient tant bien que mal, se détériore, anéantissant les effets bénéfiques d’une sécurisation foncière par voie d’immatriculation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".