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Record W2972102877 · doi:10.23887/jjpe.v11i1.20133

IMPLEMENTASI PENGGUNAAN DANA DESA UNTUK MENINGKATKAN PERTUMBUHAN EKONOMI DI DESA SONGAN B

2019· article· id· W2972102877 on OpenAlexaff
Ni Kadek Duri Listya Dewi, Naswan Suharsono, Wayan Suwendra

Bibliographic record

VenueJurnal Pendidikan Ekonomi Undiksha · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsKintama (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui implementasi penggunaan dana desa ditinjau dari indikator pelayanan publik, perekonomian desa, dan pengentaskan kemiskinan dalam upaya meningkatkan pertumbuhan ekonomi di Desa Songan B, Kintamani, Bangli. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah kepala keluarga yang tinggal di Desa Songan B berjumlah 2591 orang dan sampel sebanyak 96 orang dengan tehnik pengambilan sampel menggunakan proportional random sampling. Data dikumpulkan dengan metode kuesioner dan dokumentasi dengan analisis data yaitu analisis deskriptif. Hasil penelitian menunjukan bahwa implementasi penggunaan dana desa ditinjau dari indikator pelayanan publik dikategorikan sangat baik dengan total skor 8705, implementasi penggunaan dana desa ditinjau dari indikator perekonomian desa dikategorikan sangat baik dengan total skor 7306, implementasi penggunaan dana desa ditinjau dari indikator mengentaskan kemiskinan dikategorikan sangat baik dengan total skor 3279

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0340.006

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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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