Natural disasters disproportionately affect populations and regions: A disaster analysis of the 2004 Indian Ocean tsunami
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
This paper is a comprehensive review of the 2004 Indian Ocean Tsunami that took place in Sumatra, Indonesia. The causes, as well as the direct and indirect impacts of this natural disaster are explored to understand the tsunami’s true damage and magnitude. A disaster risk analysis was conducted to provide an overview of the relationship between various interacting factors: the hazard, peoples’ exposure to the hazard, and their vulnerability to the hazard. This analysis is key in interpreting the risk of the hazard and determining its deadliness. Solutions and efforts to improve safety and resilience after the disaster are analyzed through several hazard paradigm lenses. The paradigms provide a well-rounded overview of the multifaceted nature of a hazard to better understand, plan, and mitigate associated risks. An overview of geographic areas and populations most at risk, as well as prospective solutions are described. Finally, this paper briefly discusses the growing impact of climate change on the frequency, risk, and magnitude of future extreme weather events.
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.
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 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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