Pengaruh Alokasi Belanja Modal, Desentralisasi Fiskal, dan Kinerja Keuangan Daerah Terhadap Kemiskinan Dimediasi Indeks Pembangunan Manusia Kabupaten Sragen Tahun 2011-2020
Bibliographic record
Abstract
Poverty is a problem for both developed and developing countries. Poverty is determined by the level of income and the ability of a country to meet its most basic needs. In addition, the factor that affects poverty is the human development index called fiscal decentralization. This study aims to describe the allocation of expenditures, fiscal decentralization, and financial performance of capital in the Sragen Regency to poverty. The research method in this study is descriptive quantitative, collecting information to test hypotheses or answer questions through questionnaires. The results obtained in this study showed a significant positive relationship between the allocation of capital expenditure in the Sragen district, a significant positive relationship between fiscal decentralization on poverty, and no significant or negative relationship between the development index on 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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".