Palaeotectonic environment and landslide phenomena in the area of Malakasa, Greece.
Bibliographic record
Abstract
The extended landslide of Malakasa area, located 35km to the North of Athens, occurred in a neopalaeozoic schist-sandstone klippe, a complex Palaeotectonic environment in the northern roots of Parnitha Mt. Due to this failure, railway line and highway connection between Athens and central and North Greece were cut off. In this paper, it is attempted to approach the landslide mechanism based on: (i) the kinematic data on the failure surface, (ii) the morphological features of the surface, (iii) the movement vectors, and (iv) the lithostratigraphy and hydro-geological features of the sliding mass. According to the above criteria, three soil blocks can be identified in the landslide mass, which are differentiated by their lithological structure, kinematic features, type of deformation and hydro-geological behavior. The causal factor of the extended landslide was the gradual loss of support of these three blocks and their slide on a pre-sheared surface of low strength that has been caused by the extended excavation in the slope toe. The palaeotectonic structure and the development and geometry of the geological formations in the landslide area were not taken into account during the construction of the drainage works, for slope stabilization and the increasing of safety factor, something which led to the over-designing of the remedial measures.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".