Post-Earthquake Trauma Levels of University Students Evaluation: Example of 6 February Kahramanmaras Earthquake
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The earthquake, which affected the south and southeast of Turkey (approximately 10 provinces) on February 6, 2023, brought many devastating consequences. Earthquakes, which occur in all geographies of the world in variable time periods depending on the characteristics of the geological structure, cause many extraordinary situations and consequences for humanity. This situation and results require people defined as disaster victims to struggle with psychological problems arising from the effects of the event. Based on this, this study aims to determine the post-earthquake trauma levels of university students who experienced and were affected by two earthquakes that took place nine hours apart on February 6, 2023, where the districts of Pazarcık (Earthquake intensity 7.7) and Elbistan (Earthquake intensity 7.6) in Kahramanmaraş province of Turkey were the epicenters. intended to be evaluated. In the study, which was carried out with the quantitative research method and the survey model, criterion sampling, one of the purposive sampling methods, was used to determine the research group. Data were collected with the "personal information form" created by the researchers and the "post-earthquake trauma level determination scale" developed by Tanhan & Kayri (2013). Unlike many studies on the extent of the earthquake that took place, it can be said that as a result of this study, which aims to examine the psychological and mental state of earthquake victims, many remarkable results such as the fact that the trauma levels of female earthquake victims are higher than that of men.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it