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Record W2585142512 · doi:10.12681/bgsg.11060

Palaeotectonic environment and landslide phenomena in the area of Malakasa, Greece.

2013· article· en· W2585142512 on OpenAlexaff
N. D. Mourtzas, Elias Sotiropoulos

Bibliographic record

VenueBulletin of the Geological Society of Greece · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsLandslideGeologySchistLithostratigraphyExcavationMass movementGeologic mapGeomorphologyMining engineeringGeotechnical engineeringPaleontologyStructural basinMetamorphic rock

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.008
GPT teacher head0.171
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the Geological Society of GreeceSame topicLandslides and related hazardsFrench-language works237,207