ANALISIS AKUNTABILITAS DAN TRANSPARANSI PENGELOLAAN KEUANGAN DANA DESA DI DESA SEMANGKO KECAMATAN MARANGKAYU KABUPATEN KUTAI KARTANEGARA TAHUN 2019
Bibliographic record
Abstract
This research aims to determine whether the financial management in Semangko Village, Marangkayu District, Kutai Kartanegara Regency has fulfilled the principles of Accountability and Transparency in Village Financial Management. This research uses qualitative research methods with data reduction techniques, data presentation, data conclusion, verification and final conclusions. The data collection techniques used in this field research are interview, observation and document study. The results of data analysis from the results of interviews, observations and document studies on the level of accountability and transparency in the financial management of village funds in Semangko Village, show that the application of Accountability and Transparency in Village Financial Management in Semangko Village, Marangkayu District, Kutai Kartanegara Regency in planning, implementation, administration and the responsibility is good enough
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".