Quick-clay landslides; stability of soil influenced by sedimentological and hydrogeological factors
Bibliographic record
Abstract
Quick-clay landslides can occur suddenly in marine and glaciomarine deposits below the marine limit (the highest sea-level after the last glaciation), sometimes with catastrophic consequences. Through geological time, the most common trigger for quick-clay landslides is fluvial erosion, undercutting the unstable slope. However, in more recent years human activity has been shown to be an increasingly important triggering cause. The main problem in quick-clay hazard management is the difficulty in predicting where and when a quick-clay landslide will occur. The deposition of marine clay and later isostatic uplift has exposed clay to leaching by fresh water, and formation of sensitive clay in previous glacial regions including Fennoscandia and Canada. The speed and limit of these processes depends on a variety of factors, including the presence of coarse-grained layers interbedded with clay, allowing groundwater to percolate into the deposit and leaching of salts that originally stabilize the clay. This PhD project is in its starting phase and aims to further the understanding of the complexity of marine clay deposits. This includes statistical analysis of landslides in marine deposits, examining sedimentological architecture, and hydrogeological modelling. Examining multiple locations in Norway will allow for comparison of landslide occurrence in relation to morphology, stratigraphy, and erosion. This can aid in improving the hazard management in these areas, to consider if and where landslides are more likely to occur, and at which scale.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".