Urban Spatial Management Strategy: Transforming Slums into Tourist Attractions in Bantarsari Bungursari Village, Tasikmalaya District
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The high rate of population growth has caused many problems, one of which is the increase in slum areas which has resulted in a decline in environmental quality, residents' health, and the level of welfare of local residents.So a mature strategy is needed from and involving the community to overcome these problems, both through the development and promotion of agricultural and tourism products.This research aims to identify the potential of slum areas to become tourist villages, one of which is in Bantarsari Bungursari Village, Tasikmalaya City, and reveal the strategies and potential of rural areas in supporting slum areas to become tourist attractions.Data collection used a qualitative descriptive method by asking the community directly about the strategies used to transform slum areas into tourist areas.The research results show that the potential of the tourist village area is natural physical potential in the form of geographical factors that support rural tourism, namely agrotourism and house-building characteristics as well as socio-cultural potential in the form of friendly habits of local residents and good service to tourists.It can be concluded that slum area management can be carried out through the natural physical and socio-cultural potential of the community.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it