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Record W4409799984 · doi:10.11159/icgre25.167

Analysis of the technical feasibility of future civil works focused on the geological and geotechnical state in the area of Punzara, canton Loja

2025· article· en· W4409799984 on OpenAlexvenueno aff
Jose Luis Chavez Torres, Dylan Manuel Cueva Castillo

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2025
Typearticle
Languageen
FieldEnergy
TopicEnvironmental and Ecological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyState (computer science)Geotechnical engineeringMining engineeringCivil engineeringEngineeringComputer science

Abstract

fetched live from OpenAlex

The main objective of this study is to assess the technical feasibility of undertaking future civil construction projects in an area with complex geological conditions.Specific objectives include determining the dynamics of slope movements in the area, developing a geological-geotechnical guide to guide the design of future works, and assessing the suitability of the soil to support construction.The methodology applied combined high-precision topographic survey techniques, extensive field observations, and the analysis of satellite images of the area.This allowed detailed measurements of horizontal and vertical displacements, as well as the execution of in-situ geotechnical tests such as SPT and triaxial compression tests in the laboratory.The results obtained highlight the varied geology of the site, with soils showing notable differences in their cohesion and internal friction properties.Analysis of the ground movement patterns reveals a combination of upward and downward trends, with most of the monitored points experiencing slow but steady displacements.The geotechnical studies conclude that, despite the complexity of the subsoil conditions, the area is technically feasible to accommodate future construction works, provided that adequate foundations, such as spread footings, are implemented, the design of which takes into account the bearing capacities of the soil and the geological particularities of each sector.This work provides practical recommendations based on the findings, to guide the development of future infrastructure projects in this area of high geological complexity, thus contributing to minimizing the risks and optimizing the results of construction interventions.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.198
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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