AKUNTABILITAS DAN TRANSPARANSI KEUANGAN PENGELOLAAN DANA BOPDA SDN WONOREJO III/314 SURABAYA
Bibliographic record
Abstract
This research aimed to describe Financial Accountability on Fund Management of Regional Education Operational Assistance (REOA) of SDN Wonorejo III/314 Surabaya, 2019: 1). REOA’s Fund Planning. 2). REOA’s Implementation. 3). REOA’s Fund Monitoring and Evaluation. 4). REOA’s Fund Reporting. The research was descriptive-qualitative. When, the population was SDN Wonorejo III/314 Surabaya, with subjects include Principal, School Treasurer, Teachers, and School Committees. Moreover, the data collection technique used observation, documentation, and interview. The research result showed as follows: 1) During REOA’s planning, the management had arranged its RKAS before having RAPBS, 2) There were two step in implementation of REOA’s arrangement, i.e salary for contract teachers and service goods. 3) Monitoring and Evaluation was done internally of school commitees and inspectorate. 4) REOA’s Fund Repoting was applied every quarter through its accountability repot; along with the attachment. This publication was done as it posted REOA’s summary on bulletin board and give copy of paper about the usage of REOA’s fund to parents.Keywords: reoa’s budget, planning, implementation, monitoring and evaluation, reoa’s reporting
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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 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".