Peace in the wake of disaster? Secessionist conflicts and 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 explores the impact of ‘natural’ disasters on armed conflicts, focusing on the evolution of secessionist conflicts in Aceh and Sri Lanka following the 2004 Indian Ocean tsunami. Most studies suggest that ‘natural’ disasters exacerbate pre‐existing conflicts. Yet whereas conflict did escalate in Sri Lanka within a year of the tsunami, in Aceh hostilities unexpectedly ended within eight months. Drawing on a comparative analytical framework and semi‐structured fieldwork interviews in Aceh, the study points to the importance of spatial dimensions in explaining diverging political outcomes in Aceh and Sri Lanka, focusing on the reshaping of governable spaces following the tsunami.
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 | 0.001 | 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 | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| 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