Crues et inondations majeures des villes de l’Estrie : variations climatiques et modifications anthropiques (Québec, Canada)
Bibliographic record
Abstract
Parmi les municipalités du Québec les plus souvent touchées par les inondations, on doit mentionner les municipalités de l’Estrie, qui sont régulièrement affectées par ce phénomène. Les villes de Sherbrooke, Bromptonville, Richmond et Windsor subissent régulièrement les inconvénients et les dommages associés aux inondations. Malgré les efforts consentis par les gestionnaires et responsables municipaux au cours des années, le problème demeure entier et toujours actuel pour ces municipalités riveraines. La présente étude se veut une recension historique des crues et des inondations majeures qui ont marqué les villes de l’Estrie durant la période 1900-2000. Cette recension chronologique est suivie d’une analyse sommaire des conditions hydroclimatiques associées aux événements d’inondation et les principales modifications anthropiques survenues sur ce territoire.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".