Diversité régionale de la prise en compte des zones humides et de leurs dynamiques
Bibliographic record
Abstract
Le constat de la dégradation et de la régression spatiale des zones humides ont conduit à partir des années 1970 à dresser des typologies, mener des inventaires et engager des actions de préservation. Cependant, les zones humides de faibles superficies, souvent relictuelles, se situent aujourd’hui en dehors des dispositifs de protection. Pourtant, en raison de leurs multiples fonctions, elles sont progressivement intégrées aux politiques d’aménagement du territoire. Les zones humides constituent ainsi un nouvel enjeu de développement. Elles sont l’objet de stratégies contradictoires quant à leur valorisation. L’étude de deux exemples situés en région Nord-Pas-de-Calais permet de s’interroger sur la reconnaissance et l’intégration de la multifonctionnalité de ces espaces dans les politiques d’aménagement.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".