PARTISIPASI WARGA DALAM PELESTARIAN BANGUNAN DAN STRUKTUR CAGAR BUDAYA DI BALUWARI
Bibliographic record
Abstract
The participation of citizen in the conservation of heritage buildings and structures on Surakarta Baluwarti background by conservation measures are often perceived as a barrier to regional development. It causes people to be hesitant in doing conservation measures. Baluwarti been determined to be of cultural heritage, the citizen in Baluwarti required to actively participate in the conservation of cultural heritage buildings and structures. Conservation of cultural heritage in Baluwarti not limited to protection, but also includes the utilization and development. The problem in this research is how much the participation of citizens in the conservation of cultural heritage buildings and structures in the area of Surakarta Baluwarti. The method used is to conduct field observations, distributing questionnaires, and analyzes the frequency distribution and descriptive analysis. The results of the level of citizen participation Baluwarti in the conservation of buildings and structures in the region. The results of this study indicate that the level of citizen participation at the level Baluwarti being. This result indicates the persistence of participation in conservation, but need to increase the participation of buildings and structures related to the conservation of cultural heritage Baluwarti. Keywords: Building and Structure, Conservation, Cultural Heritage, Participation.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.003 |
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".