Analisis Determinasi Belanja Daerah (Studi Kasus Kota/Kabupaten Jawa Tengah Periode 2018 -2019)
Bibliographic record
Abstract
The reason for the investigation was to dissect the impact of regional original revenue, general allocation fund, special allocation fund, regional expenditure on provincial uses in urban areas/locale in Central Java. Utilizing optional information acquired from the Central Java Statistics Agency and related office writing. The insightful technique for this examination is the different relapse experimental model and old style supposition testing through the Eviews 10 program. The consequences of the proposed theory test, two free factors significantly affect territorial spending, and one autonomous variable has no critical impact on provincial spending. Local unique pay and uncommon exchange reserves have a positive and huge impact on local spending, while general exchange reserves have a negative and inconsequential impact on provincial spending. It very well may be seen that at the same time the three free factors utilized affect provincial spending in the city/regency of the region of Central Java.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".