Synergy Model of the Role of Local Government and Community in the Relocation of Slums in Jakarta Indonesia
Bibliographic record
Abstract
The problem of slum areas along the river in Jakarta Indonesia does not only cover housing problems, but also social and economic problems for people living in slum areas. As city dwellers, they are entitled to a place to live and earn a living without breaking the rules. However, the DKI Jakarta Government has been taking issue with its citizens who have always refused to evict and relocate their citizens for a better life. In fact, the DKI Jakarta Government wants to arrange slum settlements along the river, which is done in stages with. Therefore, a synergy role model is needed to be built, among others, through direct public deliberations with its citizens which can be used as a good structuring pattern and can become a forum for communication between the Regional Government and the community. The steps that need to be taken are government efforts so that citizens can change their views to a more positive direction in assessing the policies of the DKI Jakarta Regional Government and how Regional Government policies can optimally implement the people's aspirations. To understand these problems, it is necessary to conduct research that examines the problems of slum settlements in Jakarta which are expected to produce solutions that can solve existing problems. This study aims to examine the perceptions, motivations and attitudes of the people of Jakarta towards local government policies. The goal is to be able to develop role models for the DKI Jakarta Regional Government and communities in slum settlements according to the aspirations and socio-economic conditions of the local community.
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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 | 0.002 | 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 | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".