An Analysis of the Post-War Community Relations between Buddhists and Muslims in Sri Lanka: A Muslim’s Perspective
Bibliographic record
Abstract
Sri Lanka is a multi-ethnic, multi-religious country comprising four of the world’s major religions: Buddhism, Hinduism, Islam and Christianity. Buddhists are the predominant ethnic group, constituting 70.19% of the total population, while Muslims make up the second largest minority in the country. There are many records in the history to prove well the cordial relationship between Buddhists and Muslims in Sri Lanka. However, in the past couple of years, particularly during the aftermath of the civil war, tension may be observed in the relationship between these two religious groups. This is due to a campaign undertaken by a several Buddhist nationalist groups whose intensions are to create a division among these respective societies. These groups have been carrying protests against Muslim social, cultural and religious aspects, including issuing Halal certification, slaughtering of cattle, conducting prayer services, etc. Moreover, they have disseminated misinterpretations about Muslims and Islam with derogatory speeches among the Buddhist public, for the purpose of accomplishing above division. Given the above backdrop, this paper attempts to determine the post-war relationship between Muslims and Buddhists in the country, including major interrupting factors, through analyzing Muslims’ point of views. According to the results, there is no remarkable fluctuation in the relationships between Muslims and Buddhists, and Muslims have posited that there are several social, cultural and religious practices them that act as significant barriers to maintaining a better community relationship with Buddhists, such as slaughtering of cattle for meals. Therefore, almost all of the Muslims have been demanding proper guidelines regarding the slaughtering of cattle, the Niqabs (face cover of Muslim women), and other factors related to interrupting a better interaction with the Buddhists for better cordiality, within the context of Sri Lanka.
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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 | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".