Integrative Model of Nussp Program Policy Implementation in the Poor Community Empowerment Based on Tridaya
Bibliographic record
Abstract
The implementation of NUSSP (Neighborhood Upgrading Shelter Sector Project) program policy is a residential upgrading and settlement sector project in the context of urban slum settlement management for the empowerment of the poor communities based on tridaya in Makassar City which was implemented since 2005-2009 (phase I). This study used a qualitative approach by using case study at five urban villages of NUSSP’s program locations as the key areas, namely: Buloa, Cambaya, Lette, Rappocini, and Balang Beru sub-districts within Makassar. The data collection used in-depth interview, Focus Group Discussion (FGD), direct and participatory observation supported by document study, case history, and triangulation. The results of this study indicated that the integrative model achievement of NUSSP’s program policy implementation in handling of urban slum settlement by using the tridaya’s empowerment approach as an effort to empower the poor society, in the form of output and outcome of policy implementation that had provided benefits for the government and the poor communities from the empowerment development aspect, such as the physical environment, economic empowerment, and social empowerment. Although from the economic aspect and social empowerment were not relatively optimal conducted by government and private parties, neither were not yet relatively optimal conducted by NUSSP executing actors in the utilization of local cultural values and religious values to support the successful implementation of NUSSP program policies in the field. The findings of this study were in the form of the development of “Tridaya” empowerment concept into “Pancadaya” (environmental, social, economic, cultural and religious development). This finding revealed that the importance of the use of cultural and religious values transformed in the poor community empowerment concept, so it was assumed that they will give a significant contribution in supporting the integrative model of NUSSP’s program policy implementation in the handling of slums in order to empower the poor communities in urban slum areas.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".