IMPLEMENTASI NEW PUBLIC MANAGEMENT (NPM) DALAM PELAYANAN PUBLIK DI DINAS PENANAMAN MODAL DAN PELAYANAN TERPADU SATU PINTU KOTA MAKASSAR
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study was to analyze the implementation of the seven characteristics of NPM in theMakassar City Investment and one stop service (dPMPTsP). NPM is a reform in public managementas an effort to further improve the quality of services to the community, has seven characteristics in itsimplementation, namely: professional management in the public sector, has performance standards andperformance measures, emphasizes more on controlling output and outcomes, division of work units,the existence of competition in the public sector, applying the private sector management model to thepublic sector, emphasizing savings in the use of resources. Using a qualitative approach with the type ofevaluation research, namely examining the implementation of public service reform. Research informantsare structural officials of echelon II, III and IV, service operational staff, and the community. Research datawere collected through in-depth interviews, observations, and documentation related to policies. The resultsshow that of the seven characteristics of NPM, which have been implemented properly, namely professionalmanagement, the existence of performance standards and performance measures, the division of work units,the existence of competition in the public sector. The characteristics that still need to be taken seriously andaddressed are the emphasis on controlling output and outcomes, applying the private sector managementmodel to the public sector, emphasizing savings in the use of resources.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it