Wat Phra Tat: Space and Environment Management of Buddhist Temples and Relics in the Esan Region
Bibliographic record
Abstract
This qualitative investigation assesses the problems and conditions of space and environment management in nineteen temples of North-eastern Thailand. The results found that the current problems with management in the area are the ineffective division of space within the temple complex, the lack of systems to accommodate large influxes of people and the harm that overcrowding causes the temple environment. The research team outlined a method to combat these problems that consisted of temple space restructuring to make the grounds more suitable for large numbers of visitors, thus reducing strain on the environment. This was achieved by redistributing the land allocation and making the Phra Tat the most important feature of the temple, from which all other areas may be accessed. By ensuring that all visitors to the temple come into contact with the Phra Tat, this model will maximize the promotion of precious architectural and Buddhist heritage in Esan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".