Caracterización de movimientos de ladera y propuestas de medidas de estabilización en los cantones san Antonio, Jocote Dulce y Boquerón del municipio de Chinameca
Bibliographic record
Abstract
RESUMEN: Debido a su situación geológica-geográfica ha tenido una historia marcada de destrucción debido al azote de los fenómenos naturales. Geológicamente hablando nuestro país es relativamente joven (si se considera que una cuarta parte del territorio nacional es de edad pleistocena), posee tierras fértiles y abundante agua durante el período de lluvias, gran parte del territorio es afectado por agentes geológicos internos como la continua sismicidad que afecta prácticamente todo el país. La acción de la gravedad, el debilitamiento progresivo de los materiales, debido principalmente a la meteorización y la actuación de otros fenómenos naturales y ambientales, hacen que los movimientos del terreno sean relativamente habituales. Tal es el caso del Municipio de Chinameca (que es donde se centra nuestro estudio), cuyas comunidades se caracterizan por vivir en condiciones de riesgo. Y es que el Municipio de Chinameca, según lo demuestran los registros históricos tiene antecedentes de desastres que han sido generados tanto por la combinación de fenómenos de origen climático y geológicos como por la adición de los efectos de la actividad irracional del ser humano. \nABSTRACT: Due to its geological-geographical situation, it has had a marked history of destruction due to the scourge of natural phenomena. Geologically speaking, our country is relatively young (considering that a quarter of the national territory is of Pleistocene age), it has fertile lands and abundant water during the rainy season, a large part of the territory is affected by internal geological agents such as continuous seismicity It affects practically the entire country. The action of gravity, the progressive weakening of materials, mainly due to weathering and the action of other natural and environmental phenomena, make ground movements relatively common. Such is the case of the Municipality of Chinameca (which is where our study is focused), whose communities are characterized by living in risky conditions. And it is that the Municipality of Chinameca, as shown by historical records, has a history of disasters that have been generated both by the combination of climatic and geological phenomena and by the addition of the effects of irrational human activity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".