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Record W2026665964 · doi:10.5539/ass.v9n2p219

Armed Conflict Termination in Sri Lanka: An Opportunity to End Displaced Life and Renew Tamil-Muslim Relations

2013· article· en· W2026665964 on OpenAlexvenueno aff
Salithamby Abdul Rauff, Zulkarnain A. Hatta

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
FundersUniversiti Sains Malaysia
KeywordsTamilGovernment (linguistics)Ethnic groupEthnic conflictPolitical scienceSri lankaArmed conflictDisplaced personInternally displaced personPosition (finance)Nonprobability samplingQualitative researchEconomic growthGender studiesSociologyCriminologySocioeconomicsLawSocial scienceRefugeePopulationDemographyBusinessEconomics

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.338
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

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