Penyederhanaan Birokrasi pada Dinas Perpustakaan dan Kearsipan Daerah Provinsi Jawa Barat
Bibliographic record
Abstract
Simplification in the bureaucracy is one of the focuses of the 5 (five) priority programs of the Onward Indonesia Cabinet under the leadership of President Joko Widodo and Ma'ruf Amin and as a presidential mandate which is an executive order that must be carried out. We must continue to simplify the bureaucracy on a large scale. Investment for job creation must be prioritized. This study aims to determine the simplification of bureaucracy in the Regional Library and Archives Office of West Java Province. The method used in this study is qualitative by using data collection techniques by observing, interviewing and documenting. The results of this study are that the services available at the Regional Library and Archives Service of West Java Province are appropriate and in the alignment of administrative positions to functional positions because the simplification of the bureaucracy has the advantage that services become simpler, agile, fast and less verbose Regional Library and Archives Services West Java Province simplified the bureaucracy on the basis of government policy with the aim of facilitating the delivery of services to the community more quickly.
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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 | 0.001 |
| 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 | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".