Trajectoire du risque inondation au Québec méridional : évolution de l’évaluation préliminaire du risque inondation selon l’augmentation des débits spécifiques
Bibliographic record
Abstract
Ces travaux s’appuient sur la méthode du projet EPRI 2 présentée au Ministère de la Sécurité Publique du Québec en août 2020 et qui consiste à construire 6 indicateurs de vulnérabilité aux inondations. Ces indicateurs sont construits grâce à l’exploitation via SIG de bases de données géolocalisées. 12 bassins versants sont retenus pour ces travaux. Cette analyse a ensuite été approfondie à l’échelle des municipalités pour deux bassins versants sur la base de gammes de 35 débits spécifiques (de 2 à 95 m/s) : l’évolution de la vulnérabilité aux inondations a été analysée et une représentation cartographique a été élaborée.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".