Portfolio d’options pour le renforcement de la résilience : application de principes systémiques de résilience à la gestion des risques d’inondation en Gironde
Bibliographic record
Abstract
Les inondations côtières semblent être appelées à connaître une croissance importante en termes de fréquence et d’intensité. En outre, la forte urbanisation des zones côtières amplifie les conséquences de ces inondations en cas d’impact. Or, au lieu de renforcer la résilience, la gestion des risques s’est davantage focalisée, en France, sur le contrôle de l’urbanisation en vue de réduire l’exposition, des biens et des personnes. Le recours à des mesures inflexibles et restreintes ne semble pas favoriser l’adaptation face aux risques présents et futurs. Ce travail explore une alternative destinée à lever les limites des approches actuelles, focalisées sur la réduction des impacts. Nous proposons un cadre opérationnel de renforcement de la résilience par l’application de principes systémiques à la gestion des risques.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".