A Proposed ASEAN Disaster Response, Training and Logistic Centre: Enhancing Regional Governance in Disaster Management
Bibliographic record
Abstract
The Southeast Asian region is remarkably vulnerable to natural disasters which repeatedly cause devastations to both human lives and properties. However, current disaster relief efforts have not lived up to the high standards. Even worse is that humanitarian efforts have been frequently frustrated by the rejections from national authorities under the name of “sovereignty. All these problems necessitate a widely accepted, politically neutral, well coordinated and effectively governed organization within the region. We, hereby propose a Disaster Response Training and Logistic Centre under the umbrella of the Association of Southeast Asian Nations (ASEAN), which aims to mitigate the devastation of disasters, to provide accurate relief assessment, and training for relief team on a regular basis, and to allocate and mobilize humanitarian aid. The Centre will be endorsed through an agreement by all ASEAN governments. The philosophy underpinning the organization reflects a regional approach whereby stronger government involvement and regional integration in disaster relief is indispensable in the context of the Southeast Asian region.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".