Numerical investigations of retrogressive failure in sensitive clays: revisiting 1994 Sainte-Monique slide, Quebec
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Bibliographic record
Abstract
Abstract Retrogressive slope failure is ubiquitous in regions of abundant sensitive clays with its mechanism yet to be understood comprehensively. This study gives numerical investigations of retrogressive slope failure with a focus on the 1994 Sainte-Monique slide, Quebec, using a large deformation finite element method. Failure mechanisms and post-failure behaviours including the global kinematics and retrogression distance are highlighted with controlling factors discussed in parametric studies. Key features of post-failure behaviours of the 1994 Sainte-Monique slide are reproduced with the configuration of sliding mass deposits comparable to the site investigations. Post-failure kinematics and retrogression distance are sensitive to sensitivity, brittleness and viscosity of soils and riverbed geometry. Parametric studies may contribute to assess potential retrogression recurrence in the region and its retrogression distance upon current set of in situ parameters.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it