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PENGARUH PENDAPATAN DAERAH TERHADAP PERTUMBUHAN EKONOMI DI WILAYAH SARBAGITA PROVINSI BALI

2018· article· en· W2891188057 on OpenAlex
Lily Kusumawati, I Gusti Bagus Wiksuana

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

VenueE-Jurnal Manajemen Universitas Udayana · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsData collectionGeographyPopulationAgricultural scienceBusinessAgricultural economicsSocioeconomicsEconomicsMathematicsStatisticsEnvironmental scienceEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

The purpose of this research is to know the effect of Pendapatan Asli Daerah (PAD), Dana Alokasi Umum (DAU), Special Allocation Fund (DAK) and Profit Sharing Fund (DBH) to economic growth in Sarbagita area of ??Bali Province. This research was conducted in Sarbagita area of ??Bali Province using saturated sampling method in determining samples with population and sample are Denpasar City, Badung, Gianyar and Tabanan regencies in 2012 - 2016. Data collection was done through nonparticipant observation technique. Data analysis was done using descriptive analysis and multiple linear regression. Based on the results of research requires that Pendapatan Asli Daerah (PAD) and Special Allocation Fund (DAK) have a positive effect on economic growth in Sarbagita area of ??Bali Province. While the General Allocation Fund (DAU) and DBH (Fund DBH) negatively affect the economic growth in the Sarbagita area of ??Bali Province

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.022
GPT teacher head0.195
Teacher spread0.173 · 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