Les inondations de 1733 et 1740 à Grenoble : L’évolution de la résilience dans l’après catastrophe
Bibliographic record
Abstract
En 1733 et en 1740, Grenoble, capitale du Dauphiné, fut frappée par deux des plus graves inondations de l’Isère. La résilience socio-économique de ce territoire urbain et périurbain met en évidence l’importance des arbitrages des différents acteurs dans la capacité de survie du système grenoblois au-delà de la catastrophe. La résilience sera considérée comme un processus de retour du système touché par une inondation vers la « normale ». La conservation et l’adaptation de la société résultent d’un ensemble de phénomènes dûs à des tensions ou, au contraire, à la cohésion, qui mettent en exergue des dynamiques sociales et territoriales. La catastrophe réveille une sensibilité accrue aux vulnérabilités du système. Elle participe ainsi à l’élaboration d’une construction plus large du risque d’inondation au XVIII e siècle.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".