KEARIFAN KAENBAUN SEBAGAI DASAR KONSEPTUAL PADA TATA SPASIAL ARSITEKTUR PERMUKIMAN SUKU DAWAN DI DESA KAENBAUN (The Kaenbaun Wisdom as a Conceptual Basis of the Spatial Design of Settlement Architecture of Dawanese in Kaenbaun Village)
Bibliographic record
Abstract
The Research based on an intercultural contact approach is significant to study the traditional settlements and to support the preservation of local culture-based architecture in Indonesia. The Kaenbaun village inhabited by Dawan tribes is a vernacular village and organized based on local resources (physical-natural, technological, economic, social and cultural) fully. It is believed that even the ancestral spirits were involved in structuring settlements and the process of village life. The Kaenbaun's culture is a mixture of Dawan culture and the faith and dogma of the Catholic church which form Kaenbaun's wisdom and underlie the behavior of citizens and the spatial layout of Kaenbaun's settlements. The study was conducted by using field observation guided by Husserlian phenomenological paradigm. The data were processed based on inductive-qualitative thinking by using the field notes taken from field research activities in 2004 to 2010. Data were also supplemented by actual information gathered in 2010-2018 through digital media. The result showed that the local wisdom of Kaenbaun (Kaenbaun's wisdom) emerged from the Dawan culture with the acculturation of Catholic faith and dogma becoming a guideline for the behavior of citizens and the spatial structure of the Kaenbaun village settlement architecture. The Kaenbaun's wisdom is the concept of Kaenbaun's ideal life where humans live in harmony with their fellow humans, harmony with nature, blessed by their ancestors and blessed by God.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".