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Record W2085549770 · doi:10.5539/ach.v7n1p24

Boon Phawet: A Comparative Study of a Phu Tai, Tai-Lao and Kaleung Religious Ceremony in North-eastern Thailand

2014· article· en· W2085549770 on OpenAlexvenueno aff
Banjong Lawalee, Boonsom Yodmalee, Sitthisak Champadaeng

Bibliographic record

VenueAsian Culture and History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsParadeCeremonyInheritance (genetic algorithm)Focus groupEthnic groupGender studiesSociologyGeographyPolitical scienceAnthropologyLawArchaeology

Abstract

fetched live from OpenAlex

This is a qualitative investigation utilizing survey, observation, interview and focus group discussion as research tools. The aims of the paper are to assess the current state of the Boon Phawet ceremony, compare the customs between Phu Tai, Tai-Lao and Kaleung ethnic groups and analyse what they reveal about culture and society. The results show that the principles of Boon Phawet in all three groups are similar. The ceremony is held in the fourth month according to the traditional North-eastern social code of heet 12 kong 14. It is a religious ceremony to pay respect to Phra Malai, an arhat who descended to hell to ease suffering. The main components of the ceremony are a Phawet fabric parade, the Tet Mahachat sermon and a Kan Lon parade. There are a number of group-specific particularities, including the use of elephants in the parade of the Kaleung group. Problems with Boon Phawet revolve around a lack of active inheritance and care from the younger generations. For the continuation of Boon Phawet traditions, a conservation model must be determined that appeals to modern society.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.281
Teacher spread0.254 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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