AKUNTABILITAS DAN TRANSPARANSI PENGELOLAAN DANA DESA PADA MASA PANDEMI COVID-19
Bibliographic record
Abstract
Akuntabilitas merupakan bentuk pertanggungjawaban pemerintah dalam rangka melaporkan dan mempresentasikan kepada masyarakat atas tindakan yang telah dilaksanakan. Pertanggungjawaban ditegakkan supaya pemerintah transparan tentang komitmen yang dibuat dalam pelaksanaannya. Pemerintah desa Kerso kecamatan Kedung kabupaten Jepara memegang prinsip akuntabilitas dan transparansi. Tujuan penelitian ini yaitu untuk menilai akuntabilitas dan transparansi pengelolaan Dana Desa pada masa pandemi Covid-19 di desa Kerso, kecamatan Kedung, kabupaten Jepara dalam urutan prioritas penggunaan tahun anggaran 2021. Pendekatan yang peneliti gunakan dalam penelitian adalah pendekatan kualitatif berbasis studi kasus di lapangan dengan teknik pengumpulan data berbentuk wawancara terstruktur. Wawancara dilakukan dengan pemerintah desa, BPD dan tokoh masyarakat desa Kerso dengan jumlah 6 (enam) informan. Penelitian menunjukkan pengelolaan Dana Desa (DD) yang dilaksanakan pemerintah desa Kerso sudah sesuai pada ketentuan dari undang-undang dan peraturan yang ditetapkan. Prinsip transparansi dilaksanakan pemerintah desa Kerso menerapkan informasi berbasis digital, banner publikasi dan papan informasi yang dipasang di Balai Desa.Kata kunci: Akuntabilitas, Covid-19, Dana Desa, Transparansi
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.010 |
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 source (direct Gemma or distilled Codex), 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".