Apport de l’écologie du paysage dans un espace insulaire fortement anthropisé : exemple de la Martinique
Bibliographic record
Abstract
Dans un contexte de forte évolution anthropique des paysages de la Martinique, cet article a pour objectif d’identifier les variables pertinentes pour décrire leur organisation. Ce travail relève de l’écologie du paysage en tant que science multidisciplinaire qui propose une très bonne approche méthodologique combinant les composantes structurales et fonctionnelles du paysage dans la perspective de mettre en évidence les causes et les conséquences des processus écologiques. La méthode utilisée pour cette étude de l’évolution du canevas paysager de la Martinique se base sur la comparaison des cartes IGN de 1954, 1996 et de 2016. Deux zones d’études ont été choisies pour analyser la transformation des paysages sous l’action de l’homme. Les premiers résultats montrent que ces paysages martiniquais ont subi des changements importants liés principalement aux perturbations d’ordre anthropique (notamment la pression démographique) de l’époque précoloniale à aujourd’hui.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".