Évolution des caractéristiques pluviométriques et recrudescence des inondations dans les localités riveraines du fleuve Niger
Bibliographic record
Abstract
Dans le moyen Niger, les inondations sont de plus en plus fréquentes et dramatiques. Ces dernières années, les principales villes riveraines du fleuve Niger ont connu des inondations historiques, avec d’importants dégâts matériels et humains. Parmi les facteurs mis en cause figurent les changements d’usage des sols ayant entrainé la modification des états de surface et l’augmentation du ruissellement. À ceux-là s’ajoute l’évolution du régime pluviométrique. Cet article propose une analyse des précipitations de la région sur la période 1950-2013. Les indices pluviométriques, calculés à travers l’application RClimdex ont permis de mettre en évidence l’évolution des caractéristiques et les tendances pluviométriques qui sont à l’origine de l’aggravation des inondations dans ces localités.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".