New Vihara Design Generating Process: Study Case Vihara Dharma Cintamani, Kintamani, Bali
Bibliographic record
Abstract
This is preliminary paper regarding the process of designing a new Chinese religious building of Tridharma concept in Kintamani village, Bangli Regency, Bali, 80652.A small Chinese community in that area came up with the idea long time ago, but the actual planning started around 2023.As a self-sustain community, they try their best to come up with the architectural planning, with Chinese traditional religious building concept in general.One of the main problems so far, they need to know if the planning they made is according to the design standard requirement and have ample Chinese characteristic, with bits of local Balinese multicultural visuals endeavors to prevent alienation from the surrounding region.The research aims to provide consultation in meeting the maximum above criteria regarding the construction.The main architect is a local Chinese Balinese and a self-taught man that needs specific guidance in this type of building.Researchers use general interior design methods of D. K. Ching: Analyze, Synthesize, and Evaluate to research and provide necessary consultation based on the criteria needed.The improvements made in three main areas of design: safety, comfort, and aesthetics.The result will be tested in the real construction and visitors later; the most important, this place will be one source of happiness and embodiment of their unique spiritual belief and mutual religious tolerance among the majority Hinduism believers in Bali.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".