Indices de structures spatiales des îlots de forêts denses dans la région des Monts Kouffé
Bibliographic record
Abstract
La région des Monts Kouffé concerne ici la Forêt classée des Monts Kouffé et sa périphérie sud. Au Bénin, la Forêt classée des Monts Kouffé subit des pressions anthropiques qui ont pour nom une croissance démographique galopante, une agriculture itinérante sur brûlis, pâturage et braconnage anarchiques, exploitation forestière abusive, dysfonctionnement des écosystèmes forestiers et perte de la biodiversité. L’objectif général de cette étude est de caractériser les îlots de forêt dense de la forêt classée des Monts Kouffé en vue de mettre en exergue leur dynamique spatio-temporelle. La méthodologie adoptée est basée sur les techniques de la télédétection, de la cartographie et de l’écologie du paysage. À partir des images satellitaires Landsat TM de 1986 et ETM+ de 2006 toutes de 30 m de résolution spatiale, celles-ci ont permis le calcul des indices spatiaux comme le nombre de taches (ilots de forêts denses), l’aire totale des taches, la dominance, l’aire moyenne, la diversité des aires des taches et l’indice de forme.
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 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 | 0.002 | 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) | 0.002 | 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".