A comprehensive study on performance-based budgeting model: A case study of Iran's policy making, implementing and monitoring
Bibliographic record
Abstract
Performance-based budgeting (PBB) is the latest attempt to use performance indicators in allocation of resources in public sector. PBB experts normally attempt to place emphasis on output and outcome instead of input. Iran has made efforts to establish the PBB system but so far this goal has not been realized. The methodology of the research is descriptive by the means of survey-analytical approach. In the research, the possibility of establishment of PBB in Iran is examined from three perspectives (Policymaking, Implementing, and Monitoring). The conceptual model of this research is formed with a comprehensive review of literature of PBB all over the world. At first, with an extensive review of literature in the countries who implemented PBB or trying to implement it, we identify all variables, which are necessary for a suitable Performance Budgeting model. Then the PBB experts test the necessity of these variables in Iran and finally the existence has been proved by the statistical methods with the Iranian model.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".