Reimagining Victors' peace in Sri Lanka: Exploring an alternative approach
Bibliographic record
Abstract
Abstract The three‐decade‐long Sri Lankan civil war between the Government of Sri Lanka (GoSL) and the Liberation Tigers of Tamil Eelam (the LTTE, also known as the Tamil Tigers) came to an end following a major GoSL offensive in May 2009, which resulted in GoSL claiming a “victor's peace.” The war caused the death of around 80,000 to 100,000 people and internally and externally displaced hundreds of thousands. During the three decades, five attempts at formal peace processes were initiated, all of which ended unsuccessfully. This paper identifies the root causes of the Sri Lankan civil war using the social cubism analysis by Byrne and Carter (Peace and Conflict Studies, 1996, 3, 5). It then examines two of the five formal negotiations, namely the Indo‐Lanka Agreement of 1987 and the Wickramasinghe‐LTTE agreement in 2002. Finally, it explores an alternative approach to building peace in Sri Lanka using the multimodal approach by Byrne and Keashly (International Peacekeeping, 2000, 3, 97) utilizing the nested paradigm, and the time dimension of peacebuilding by Building Peace: Sustainable Reconciliation in Divided Societies (1997).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".