Experimental investigation on the erodibility and slaking of glacial till
Bibliographic record
Abstract
This study investigates glacial till erosion and the impact of slaking—soil disintegration upon water immersion—critical for projects like the Lake St. Martin Outlet Channel in Manitoba, Canada. Using a hydraulic flume, 48 erosion tests on intact glacial till revealed that non-slaked till consistently exhibited critical shear stress exceeding 13 Pa, often beyond the 17 Pa limit of the apparatus. In contrast, slaked till had a critical shear stress below 2 Pa, indicating significantly higher erodibility. The slaking threshold, determined by drying samples to increasing matric suction levels before immersion, ranged from 4 to 400 Pa, depending on sample density and clay content. Slowly saturated samples showed no slaking, while lime stabilization effectively mitigated slaking, suggesting it as a viable erosion control method. These findings enhance understanding of glacial till behavior and support improved infrastructure design and management in flood control projects.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".