Coping and Psychological Impact on Survivors of the Casita Volcano Landslide in Posoltega and Chichigalpa Communities, Chinandega, Iii Quarter 2023
Bibliographic record
Abstract
Twenty-four years ago, Hurricane Mitch caused one of the biggest disasters in Nicaragua, when the Casita volcano in Chinandega collapsed.2,500 people were buried by 250,000 cubic meters of mud and rock.The present study aimed to describe the coping and psychological impact on survivors of the Casita volcano landslide in the communities of Posoltega and Chichigalpa.Chinandega.III quarter 2023.It is a qualitative, phenomenological and cross-sectional study.It consists of a universe of 20 participants, adults over 40 years old, the data collection process was carried out through in-depth interviews with survivors of the Casita volcano, obtaining information verbally through Open questions, the analysis was carried out through the open code 4.03 program According to the sociodemographic data, the surveyed participants had an average age of 68 years, most of them were Catholic Christians, with a prevalence of 80% from urban areas and 80% of them were married.With respect to coping with the survivors of the Casita volcano landslide, It was possible to demonstrate that most of the survivors have faced the dramatic event they experienced, such as the floods, the flooding, the overflows, the flights, the deaths, and will be marked forever.Regarding the psychological impact on survivors of the Casita volcano landslide, the people interviewed expressed that they experienced several series of emotional and psychological impacts.Some of these may include posttraumatic stress, depression, anxiety, fear of new eruptions, loss of loved ones, loss of property, and problems rebuilding a normal life.
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 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".