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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".