Regional Financial Model Mapping Independence to Fiscal in East Java
Bibliographic record
Abstract
With the advent of Law No. 22 years 1999 set an authority and responsibility from central government to local government and UUNo.25 1999 governing financial between the center and regions, especially in the District city in East Java n local resources and reduce dependence of the center.This study aims to determine the independence of the Regency / City in East Java analysis used is qualitative analysis, the analysis that are explained in the description or in the form of sentences and quantitative analysis, namely analysis using formulas and definite analysis. Quantitative analysis includes the analysis of the degree of fiscal decentralization determine the level of independence of regional and sectoral economic potential in the District East Java so that it can determine the level of fiscal independence and economic potential of the region. Results are expected to be used i pattern of the relationship between the central government and the government in the district / city in East Java as well as the formula right policy for future economic development.From this research it is known that the city of Surabaya has a degree of fiscal autonomy for PAD at 48% of revenue while the region Gresik on the degree of fiscal autonomy degree enough and Sidoarjo district in degrees, please. There are 32 regions in the East dijawa degree of fiscal independence of each very less independent, meaning of Balance Funds as well as from centers of poropinsi
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".