Analysis and modelling of the multiple responses of the Ste-Marguerite River to large-scale meander rectification
Bibliographic record
Abstract
Early 1960's meander rectification of the Ste-Marguerite River, Quebec, Canada, was undertaken in order to facilitate highway construction along the valley bottom. Through analysis of thalweg elevation and grain size data, the fourfold response of the river since rectification has been determined: (1) 1 m of bed incision in the upper 4 km and 2m of bed aggradation in the lower 2 km of the 6 km straightened reach; (2) coarsening (up to 20 mm) of the pavement D50 and D84 in the area of maximum degradation; (3) lateral erosion of the channel into three high terraces; and (4) regrowth of three meanders within the reach. Estimations indicate that reprofiling and pavement coarsening have been most important in reducing the disequilibrium in gravel transport rates due to rectification. Model simulations of the response to rectification have been validated against field data and the half-time scale of response has been estimated at 10 years. A further 10 cm of degradation upstream, 17 cm of aggradation downstream and 10 mm of pavement coarsening is predicted for the next century.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".