A comprehensive field investigation of the dynamic break-up processes on the Chaudière River, Quebec, Canada
Bibliographic record
Abstract
The Chaudière River in Quebec, Canada, is well known for its frequent ice jam flooding events.As part of a larger watershed research program, an extensive field campaign has been carried out during the 2018-2019 and 2019-2020 winter seasons to quantify the spatiotemporal characteristics of the break-up processes along the Chaudière River.The results showed that mid-winter ice jams have formed in the Intermediate Chaudière and persisted until spring break-up.Spring break-ups were initiated in the Upper Chaudière, and then, almost simultaneously, in the Intermediate and Lower Chaudière reaches.The break-up in the Intermediate Chaudière usually lasts longer than the rest of the river since the slope is much milder, and the occurrence of mid-winter ice jams has been seen to delay the ice clearing.A reach-by-reach characterization of the cumulative degree day of thawing and discharge thresholds for the onset of break-up has been identified.During the field campaign, 51 ice jams were documented together their location, length, date of formation, and the morphological feature triggering jam formation.Break-up patterns, hydrometeorological thresholds of ice mobilization, and ice jam sites identified in this article can serve as a basis for the implementation of an early warning system.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".