IMPLEMENTASI KEBIJAKAN PENGANGKATAN APARATUR SIPIL NEGARA DALAM JABATAN STRUKTURAL DI KABUPATEN INDRAGIRI HILIR PROVINSI RIAU
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
This study aims to describe the implementation of the policy of appointing state civil servants in structural positions and the factors that influence them in Indragiri Hilir Regency. This research uses descriptive qualitative research and data collection with in-depth interviews. The process of implementing ASN appointment in Indragiri Hilir Regency there are 5 stages including planning, announcement, registration, selection and appointment. Planning is carried out based on the proposed workforce needs and the slack of officials in the region which are forwarded to each agency. The announcement phase was carried out by the Baperjakat Team after it was discovered that the SKPD needed employees and had been scheduled beforehand. The registration and selection stage for the appointment of the State Civil Apparatus in Indragiri Hilir Regency is the core stage in the appointment process. The final stage in the process of appointing a State Civil Apparatus in a position in Indragiri Hilir Regency is the appointment stage. This stage was carried out after the ASN candidate had carried out the examination and was declared eligible to become a State Civil Apparatus.Keywords: appointment, state civil apparatus
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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