Penerapan Sense of Place sebagai Upaya Konservasi Kawasan : Studi Kasus pada Kampung Arab Pasar Kliwon
Bibliographic record
Abstract
Urban conservation plays a siginificant part in urban design to develop historical quarter, in which sense of place theory can be applied. Kampung Arab Pasar Kliwon, an ethnic cultural quarter in Surakarta, is the case of this urban conservation study. It’s chosen due to the city goverment’s neglect on the development of the heritage area. The conservation includes living heritages in the area, which allows the place to be designated as living museum. This study rises a question on the concept of Kampung Arab Pasar Kliwon conservation, using sense of place theory, on desigining living museum. Answer to the stated issue is enhancing the activity, physical setting, and image in urban area and heritage buildings. Research method used in this study is qualitative-study case. On the street, sense of place is utilised to enhance economic activity, street life activity, cultural activity, and educational activity through urban physical element. In the heritage building, sense of place acts to preserve existing activities and develop or add new activities, room atmosphere, and building exterior. The built physical elements, accommodating the existing and new activities, are designed to conjure particular images (legibility, knowledgibility, and psychological access) through conservation actions (preservation, reconstruction, and infill). Keywords: living museum, kampung Arab, Pasar Kliwon, urban conservation, sense of place.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".