La méthode rationnelle généralisée : analyse de sensibilité et performance du modèle
Bibliographic record
Abstract
L'objectif du mémoire est, partant de l'équation de continuité et des hypothèses de la méthode rationnelle traditionnelle, de dériver un modèle capable de reproduire l'hydrogramme complet d'une crue. Le bassin est subdivisé en surface imperméable et en surface perméable, ayant chacune ses caractéristiques propres. \n \nL'étude de sensibilité a consisté à calculer les taux de variation du débit de pointe et du volume ruisselé en fonction du taux de variation des neuf paramètres du modèle. Diverses formules d'estimation de sensibilité relative ont ainsi été dérivées. \n \nEnfin, quarante-un évènements pluvieux ont servi à étudier les performances du modèle. Cinquante pour cent du temps, le modèle simule parfaitement les débits mesurés. De plus, la prise en compte de temps de concentration distincts pour les surfaces imperméable et perméable améliore sensiblement les résultats.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".