Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The accurate assessment or prediction of landslides in sensitive clays is not a straightforward task due to the complexity associated with understanding such material during the sliding process. There have, however, been several attempts to assess flow slide potentials by looking at certain aspects of sensitive clays, one of which is studying the energy involved in the disintegration of sensitive clays from an intact to a remoulded state. This energy is referred to as disintegration energy (DE). Here, an analytical approach is proposed to evaluate the DE of sensitive clays based on an integrated study of strength and stiffness properties of sensitive clays in intact and remoulded states. The proposed approach is illustrated by studying the DE involved in Norwegian landslides. In addition, the proposed equation is shown to be in line with an equation used for Canadian sensitive clays. Furthermore, this article attempts to illustrate that the extent of flow slides is related to the DE involved in sensitive clays using five selected Norwegian landslides. The study shows that the amount of required DE can be used to estimate the extent of landslides in soft sensitive clays.
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.
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 | 0.000 |
| 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) | 0.001 | 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 it