BAGAIMANA OPEN GOVERNMENT DITERAPKAN DALAM PERENCANAAN PEMBANGUNAN DAERAH? (Sebuah Analisis dengan Menggunakan Soft Systems Methodology)
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.
Bibliographic record
Abstract
Studi ini bertujuan untuk menggambarkan aspek-aspek open government dalam perencanaan pembangunan daerah dan menganalisis perencanaan pembangunan yang ideal dalam mengadopsi aspek-aspek open government. Desain penelitian ini menggunakan pendekatan kualitatif dengan Soft Systems Methodology (SSM). Teknik analisis data dengan menggunakan analisis CATWOE (Customer, Actor, Transformation, Weltanschaung, Owner, dan Environment). Adapun hasil penelitian ini menunjukkan bahwa 1) Perencanaan pembangunan daerah sudah secara alamiah telah mengadopsi aspek-aspek dari OG yaitu partisipasi, trnasparansi, dan kolaborasi namun belum dilakukan secara sengaja (by design) sehingga penetapan program kegiatan dalam RAPBD tidak sesuai dengan hasil musrenbang; 2) Adanya jaminan transparansi dalam setiap proses perencanaan pembangunan dan maksimasi penggunaan TIK menjadi syarat diadopsinya aspek-aspek OG dalam perencanaan pembangunan yang ideal. Penelitian ini juga merekomendasikan dilakukannya penelitian khusus terkait OG dan pengayaan konsep partisipasi dan transparansi.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it