Les infrastructures hydrauliques de Phnom Penh (Cambodge) face au risque d’inondation depuis 1979
Bibliographic record
Abstract
Située dans la plaine alluviale du Mékong, la ville de Phnom Penh doit faire face chaque année à un risque d’inondation aggravé. Les infrastructures doivent contenir la montée des eaux du fleuve, tout en assurant l’évacuation des eaux usées et pluviales. Leur absence d’entretien sous le régime khmer rouge a menacé la pérennité de la cité endiguée. Le recours à l’expertise internationale, renforcé à partir de 1992, a permis la reconstruction des réseaux et une meilleure évaluation de l’aléa par la reconstitution des séries de données. Mais les plus démunis restent les plus vulnérables aux inondations, toujours récurrentes à Phnom Penh.
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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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".