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Record W2098775405 · doi:10.5539/ass.v10n13p184

The Characteristics of Buddhist Communities in Violent Situations in the Lower South of Thailand: A Short Case Study

2014· article· en· W2098775405 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFranchising Strategies and Performance
Canadian institutionsnot available
FundersOffice of the Higher Education CommissionHigher Education Research Promotion
KeywordsBuddhismGeographyPopulationSocioeconomicsSociologyDemographyArchaeology

Abstract

fetched live from OpenAlex

The objective of this study was to observe the characteristics of Buddhist communities in violent situations. We conducted in-depth interviews and a fieldwork survey, and analyzed the data using descriptive analysis. Buddhists represent less than 10 percent of the population in the lower south of Thailand, and killings, murders, car bombings, and violent situations still occur in Pattani, Yala, and Narathiwat provinces. The goal of terrorists there is to reduce the number of Buddhists and drive Buddhists out of the region. From the study, we present four types of Buddhist communities that remain alive in violent situations: Buddhist communities surrounded by Muslim communities, Buddhist households in Muslim communities, large Buddhist communities, and urban Buddhist communities. We conclude that, in the near future, Buddhist communities may be lost in the lower south of Thailand, and peace is the major hope for people of all religions in the lower south of Thailand.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.261
Teacher spread0.240 · 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