Fine and Applied Arts of King Narai Festival and the Perception of Lopburism
Bibliographic record
Abstract
The King Narai Festival of Lopburi Province is a long-standing tradition that has enabled the development of the provincial identity. This research had two primary aims: to study the background and development of the King Narai Festival in Lopburi Province and to analytically study, select and present the concept of Lopburism in the fine arts activities of the light and sound shows of the King Narai Festival. The research found that the event has been held twenty-six times in a thirty-three year period since 1979. The analysis of the development of the King Narai Festival in Lopburi Province can be divided into four time periods: introduction, improvement, identity creation and value increase. The activities during the festival are able to create unity and an identity for the event and can reveal and provide deep knowledge of the essence of Lopburi people. This essence, Lopburism, can be summarized as follows: a) belief in, respect for, faith in and worship of King Narai the Great; b) the lifestyle and existence of Lopburi people during the era of King Narai the Great; c) important events during the era of King Narai the Great, including the people with important roles during the time. The explanations given in this paper show the selection process and production of activities during the King Narai Festival for presenting the identity of Lopburism.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".