Participatory Budgeting Role in Improving the Performance of Managerial Head of Department East Java
Bibliographic record
Abstract
This study aims to analyze the role of participatory budgeting in improving the performance of managerial leadership of the Office of East Java province after being moderated by variable organizational commitment and the perception of innovation. The results of the study serve as a development of the science of public sector budgeting and guidelines for the government’s efforts in improving the credibility of local government agencies. The study population is in charge of the budget, namely Echelon III Office of East Java province as many as 130 people and saturate the sample set. The research instrument was a questionnaire and analyzed using Moderated Multiple Regression. Of the 105 questionnaires were successfully analyzed, it was concluded that participatory budgeting can improve managerial performance. The results of the analysis demonstrate that organizational commitment able to moderate the role, while the perception of innovation is not able to moderate the role of participatory budgeting in improving managerial performance.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".