Armed Conflict Termination in Sri Lanka: An Opportunity to End Displaced Life and Renew Tamil-Muslim Relations
Bibliographic record
Abstract
The 30 years of local armed conflict in Sri Lanka that broke out between the state security forces and Liberation Tigers of Tamil Ealam (LTTE) in early 1980s came to an end after Sri Lankan government demolished the LTTE in 2009. A termination of such civil war was highly hoped by the people displaced by the same armed conflict, mainly Tamils and Muslims, to be an opportunity to return to their homes ending their protracted displaced live. The termination was also widely interpreted by Tamil and Muslim communities as an opportunity to renew their onetime ethnic relations, which today remained vulnerably damaged after this armed conflict. The return and the renewal of Tamil-Muslim relations have been two most notable aspects that have received a dominant position in social development programme and Tamil-Muslim public discourse of the post-conflict Sri Lanka. This paper is an attempt to examine if the Sri Lanka’s conflict termination has really served to end the displaced life and to bring Tamil-Muslim relations back. The paper focuses only on Muslims. This is a qualitative study. 11 Muslims, five from north and six from east, were recruited with purposive sample. The data was collected by one-on-one interviews with respondents and analysed with a descriptive method. The findings suggested that the conflict termination has hardly satisfied people’s hope to end their displaced live and renew their former ethnic relations. The paper, therefore, proposed some recommendations that need to be effectively advanced by government, civil communities and even non-governmental actors.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".