PERAN PEMERINTAH DAERAH DALAM MENGENTASKAN KEMISKINAN DI KABUPATEN TANGERANG PROVINSI BANTEN
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
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
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it