Spatial Analysis of Sade Traditional Hamlet in Lombok Island, Indonesia: The Alteration of Sasak Tribe’s Traditional Living Space
Bibliographic record
Abstract
Hundred years ago, vernacular architecture once triumphed. Unfortunately, poverty and low education bring people facing difficulties in understanding their own culture, building techniques, and village management. This problem then leads them to a bigger issue regarding the alteration of culture and traditional architecture. Among all vernacular architecture in Indonesia, Sasak traditional architecture is one of the unique architectures that still exist until now. However, globalization issue leads the alteration of vernacular architecture includes Sasak tribe culture and traditional village in Lombok island, including the traditional houses. This paper takes Sade Traditional Hamlet as a research subject to provide a deeper understanding of the importance of cultural values of Sasak’s living space and settlement. This research shows that the living space and culture of the Sasak tribe in Sade hamlet has evolved and transformed due to the space necessity and financial ability. Among the total 68 houses, 55.8% are the original houses of Sasak people in Sade hamlet, Bale Tani, 38.2% are the traditional modified houses, Bale Bontar, and 6% are the transitional houses, Bale Kodong. Gradually, Bale Tani change to Bale Bontar house. However, Bale Tani could still be preserved by the system of pattern relatives in the family and awiq-awiq as customary law. A deeper understanding of the house preservation, traditional material, and cultural values of Bale Tani should be taken to create a sustainable conservation method.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".