Bibliographic record
Abstract
As part of climate change, a rise in meteorological extreme weather events (EWE) like heavy precipitation and flooding can be observed in Germany. Severe extreme events can evoke great fear and pose a risk for traumatization. These traumas and the sustained stress caused by the event may result in adverse psychological health effects. Children and adolescents represent a vulnerable group due to the fact that they hold less coping strategies than adults and are strongly dependent on their environment.This narrative overview intends to summarise the prevalence of mental illness after an EWE and the related risk factors in order to draw meaningful conclusions about the mental health of children and adolescents in Germany. Therefore, existing literature from the WHO European region and from countries with a similar income level (e.g. Canada, Australia, USA) was taken into account. Since floods and heavy precipitation are the most frequent EWE in Germany, the focus was placed on them.An increase in anxiety disorders, depression symptoms, posttraumatic stress and behavioural disorders can be observed in children and adolescents after an EWE. The literature provides little information on the prevalence of such mental health effects as a result of EWEs and their effects, and which risk factors are of importance. There is thus still considerable need for research internationally and especially in Germany.
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How this classification was reachedexpand
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.014 |
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; both teacher heads agree on what is shown here.
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".