Pengaruh Kebijakan Restriksi Pemberian Hibah Bansos terhadap Politisasi Anggaran oleh Calon Incumbent pada Pilkada Kabupaten/Kota Tahun 2017
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
Penelitian ini bertujuan untuk menganalisis sejauh mana kebijakan restriksi pemberian hibah dan bantuan sosial dapat mencegah adanya political budget cycles (PBC) di era pemilihan kepala daerah pada daerah-daerah yang memiliki calon incumbent, dengan mengambil kasus pelaksanaan Pilkada Serentak Tahun 2017 di 94 kabupaten/kota di Indonesia. Dengan menggunakan fixed effect regression atas data panel selama periode tahun 2014-2018, penelitian ini menemukan bahwa tidak ada perbedaan yang signifikan terkait pertumbuhan anggaran belanja hibah dan bantuan sosial pada tahun politik 2016- 2017 antara kabupaten/kota yang memiliki calon incumbent dan tidak. Terdapat indikasi bahwa kebijakan restriksi pemberian hibah dan bantuan sosial yang diberlakukan di tahun 2016 memiliki korelasi positif dengan tidak adanya political budget cycles (PBC) di daerah-daerah yang memiliki calon incumbent.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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