ANALISIS PARTISIPASI WARGA MISKIN DALAM PERUMUSAN PERENCANAAN PEMBANGUNAN NAGARI DI NAGARI TANJUANG ALAM DAN NAGARI SUMANIK KABUPATEN TANAH DATAR TAHUN 2018
Bibliographic record
Abstract
Penelitian ini dilatar belakangi amanat Undang-Undang Nomor 25 tahun 2004 tentang Sistem Perencanaan Pembangunan Nasional (SPPN) dan Undang-Undang Nomor 6 Tahun 2014 tentang Desa yang mengamanatkan perlunya partisipasi masyarakat dalam perencanaan pembangunan termasuk partisipasi warga miskin. Penelitian bertujuan untuk mendeskripsikan ruang lingkup dan kedalaman partisipasi orang miskin dalam pembangunan nagari serta menganalisis proses penyelenggaraan perencanaan pembangunan nagari dalam pelibatan multistakeholder di Nagari Tanjuang Alam dan Nagari Sumanik Kabupaten Tanah Datar. Penelitian menggunakan metode penelitian kualitatif, dimana data primer yang bersumber dari responden menjadi data pokok untuk menjawab permasalahan yang dipertanyakan pada penelitian ini. Pengumpulan data dilakukan melalui wawancara mendalam terhadap informan kunci serta warga miskin di Nagari Tanjuang Alam dan Nagari Sumanik. Hasil penelitian menunjukkan bahwa ruang lingkup partisipasi masyarakat miskin dan proses penyelenggaraan perencanaan pembangunan nagari dalam pelibatan multistakeholder dalam perumusan perencanaan pembangunan nagari baik di Nagari Tanjuang Alam maupun di Nagari Sumanik telah sesuai dengan Permendagri 114 tahun 2014 tentang Pedoman Pembangunan Desa. Untuk kedalaman partisipasi orang miskin dari 9 (Sembilan) indikator terdapat 2 (dua) perbedaan antara nagari Tanjuang Alam dan Nagari Sumanik yaitu dilihat dari sisi cara keterlibatan warga miskin dan tingkat efektifitas partisipasi. Kata Kunci: partisipasi, perencanaan, kemiskinan
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.007 |
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".