Télédétection et SIG pour l’évaluation de l’état de dégradation et des opportunités de restauration des terres au Niger
Bibliographic record
Abstract
Adama I, Soungalo S, Edmond HIEN, et Prosper Z, 2020. Perceptions paysannes de la dégradation des ressources naturelles des bas-fonds en zone soudano-sahélienne : cas du sous bassin versant du Nakanbé-Dem au Burkina Faso, International Journal of biological and Chemical Sciences, ISSN 1997-342X, ISSN 1991-8631, 14(3) : p 883-895 ; Al H, Dorsuma et Mélanie., 2008. Variabilité climatique, désertification et biodiversité en Afrique : s’adapter, une approche intégrée, Article VertigO, Vol8 No2, 24p ; Autorité du Liptaco-Gourma (2017). Programme régional de gestion durable des terres et de renforcement de la résilience des communautés rurales et des écosystèmes aux changements climatiques dans les états du liptako-gourma, Annexe, Volume III, 75p ; Bahari IM, Malam A.M, Mamadou I, Maman I, Abba B, Kadaouré I., Faran M O, Bouzou MI, 2021. Tendances du reverdissement et de la dégradation du sol dans l’Ouest du Niger, Canadian journal of tropical geography, Vol. (8) 1, p52-57 ; Bénoit S, et Mandéla H ,2015. Atlas agro
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 | 0.006 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".