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Record W4313353563 · doi:10.20527/jiep.v5i2.7031

Pengaruh Pendapatan Asli Daerah, Dana Bagi Hasil, Dana Alokasi Umum dan Dana Alokasi Khusus terhadap Belanja Daerah dan Pertumbuhan Ekonomi (Studi Kasus pada Kabupaten/Kota di Provinsi Kalimantan Selatan Tahun 2010-2019)

2022· article· en· W4313353563 on OpenAlex
Firda Monica, Chairul Sa’roni

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJIEP Jurnal Ilmu Ekonomi dan Pembangunan · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPanel dataAgricultural economicsGeographyAgricultural scienceEconomicsMathematicsStatisticsBiology

Abstract

fetched live from OpenAlex

This study was conducted to analyze the effect of PAD, DBH, DAU, DAK on Regional Expenditures and Economic Growth. This research was conducted in all regencies/cities in South Kalimantan Province within a period of 10 years, namely from 2010-2019. The data used is secondary data obtained from the Central Statistics Agency (BPS) and the website of the General Directorate of Balance (www.djpk.kemenkeu.go.id). The type of data studied is panel data with an analytical method that is path analysis. The results showed that PAD, DBH, DAU, and DAK had a significant effect on Regional Expenditures. PAD and Regional Expenditures have a significant effect on Economic Growth. Meanwhile, DBH, DAU, and DAK do not have a significant effect on Economic Growth. Regional Expenditures can be a mediator between PAD, DBH, DAU, and DAK on Economic Growth.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0040.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.216
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it