Identifying the Tsunami Dead in Thailand and Sri Lanka: Multi-National Emergent Organizations
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
After a mass death incident, the response is initially informal but later becomes controlled by police and the human remains are worked on by police and forensic scientists. Normally, countries do this themselves though they may seek assistance from others. But in the wake of the 2004 Indian Ocean tsunami, both Thailand and Sri Lanka turned over the handling of the dead to multinational emergent organizations involving 34 countries. Especially in Thailand, these organizations soon became very structured and not only established guidelines as to how the dead were to be handled but also enforced these guidelines—at one point expelling persons whose conduct was considered unacceptable. The emergent organizations followed the patterns predicted by scholars such as Dynes, Quarantelli, and Forrest. While it is unlikely that similar multinational organizations would emerge for handling mass death situations in other countries, it would seem worth examining why similar cooperative patterns can not develop for humanitarian relief.
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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 | 0.001 | 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 | 0.000 |
| 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