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Record W2034286324 · doi:10.5539/ach.v6n2p146

Problems with Traditional Music and Its Current Appeal in Central Thailand

2014· article· en· W2034286324 on OpenAlexvenueno aff
Thipsuda Imjai, Ying Keeratiburana, Marisa Koseyayothin

Bibliographic record

VenueAsian Culture and History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAppealModernization theoryTraditional musicEveryday lifeFace (sociological concept)Government (linguistics)Central governmentSociologyFocus groupPolitical scienceMedia studiesAestheticsPublic relationsSocial scienceMusicalLocal governmentPublic administrationVisual artsLawAnthropologyArt

Abstract

fetched live from OpenAlex

Traditional music is a rich part of local culture that reveals much about everyday life in Central Thai society. This qualitative research examines traditional music in five central provinces of Thailand. By using survey, interview, observation and focus group discussion, the investigation assesses the problems with traditional music and the reason for its appeal in local communities. The results show that traditional music in Central Thailand is in decline thanks to the influence of Western culture that is altering audience preferences. Additionally, there are few young people interested in continuing the art and there is a lack of government support in maintaining the traditions. The traditional music retains appeal in its link to the everyday lifestyle of Central Thai society, yet requires modernization in order to survive in the face of global challenges.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.007
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.237
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes1
Has abstractyes

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