Akuntabilitas dan Transparansi terhadap Kinerja Anggaran Berkonsep Value For Money: Komitmen Organisasi Sebagai Variabel Moderasi
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
The application of accountability and transparency ini budget performance with the concept of value for money in government organizations is important to study. The purpose of this study is to examine the effect of accountability, transparency on budget performance with the concept of value for money and organizational commitment as a moderating variable. This study uses a quantitative approach with the subject of anlysis are employees of the financial sector in BPKAD East Java, totaling 40 employees. The data analysis technique used WarpPLS 7.0. This study proves that the implementation of the value for money concept of budget performance is strongly supported by accountability and transparency. This illustrates that accountability and transparency can support better value for money concept budget perfmance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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