PERANCANGAN RUMAH SUSUN SEDERHANA SEWA (RUSUNAWA)KOTA GORONTALO DENGAN PENDEKATAN ARSITEKTUR PERILAKU
Bibliographic record
Abstract
Population density in Indonesia is still a serious problem that has not been resolved to date. migration and urbanization carried out by people from year to year which has an impact on the density of urban areas in certain areas. Seeing that the current condition of the city is no longer possible to build large houses for those who live in urban areas, this is the main reason why it is important to design simple rental flats (Rusunawa) in Gorontalo City using a behavioral architecture approach. The methods used in this research are planning, design and descriptive methods. The sample in this research is site analysis, building plan concepts based on real field data taken from survey samples. The result of this design is the arrangement of outdoor space and spatial planning on the basis of behavior. Simple Rental Flats in Gorontalo City are designed to reduce the negative impact of the spread of slum settlements, changing people's lifestyles is important in environmental planning in Gorontalo City. The main objective of the research on the Rusunawa design itself is to produce housing that accommodates the lives of people with below average economic standards and improves the living environment of the city of Gorontalo which is becoming increasingly slum as time goes by.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".