Resurgence of Ethno-Religious Sentiment against Muslims in Sri Lanka: Recent Anti-Muslim Violence in Ampara and Kandy
Bibliographic record
Abstract
The recent upsurge of violence against Muslims in various parts of Sri Lanka has grabbed the attention of popular discourses. However, little scholarly analysis has dealt with the recent rise of anti-Muslim sentiment and violence in the country, particularly the violence in Ampara and Kandy. As such, this article explores the implications and root causes of violence in Ampara and Kandy. This article is descriptive and interpretative in nature and mainly relies on secondary data. The article reveals that the violence in Ampara and Kandy unleashed by Sinhala Buddhist hardliners with complicity of law enforcement agencies caused much damage on the mosques, businesses and properties of Muslims. I argue that phobia against growing Muslim population, myth of sterilization pills, and economic jealousy and rivalry between Muslims and Sinhalese are the root causes of the violence against Muslims in Ampara and Kandy with some other sub-factors associated with it. Thus, there is a desperate need of better managing human and social security of all groups in the country, especially ethno-religious minorities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".