PERAN PEMERINTAH DAERAH DALAM MENGENTASKAN KEMISKINAN DI KABUPATEN TANGERANG PROVINSI BANTEN
Bibliographic record
Abstract
ABSTRACT Tangerang Regency has many potential natural resources and human resources that should be added value in increasing the economic potential of the community. However, the people’s life in Tangerang district is still living in poverty. Looking at the facts in the field that there are still many people living in slums, the researchers need to conduct a study on how the role of local government in Tangerang District eradicate poverty in the region. The research design refers to secondary data from 2011-2015. The research was conducted by qualitative method with descriptive inductive writing to obtain data. The scope of writing is about the role of Local Government of Tangerang Regency in Eradicating Poverty as well as factors that inhibit and support the role. The results of this sresearch illustrates that the role of Local Government of Tangerang Regency in alleviating poverty is quite a lot of realized in 25 excellent programs that are implemented consistently cross-sectoral and cross-SKPD which is expected to solve synergic regional problems and integrated but the community is still constrained some access related to clean water facilities, especially in some densely populated areas or slums in coastal areas. Keywords: role, local government, poverty
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".