Development Planning Based On Data Desa Presisi In Tapanuli Utara Regency, North Sumatra Province
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 success of development policies is determined by the availability of data and the ability to carry out good program planning. This study aims to look at the current conditions of regional development (especially in the field of basic services) and the achievement of the Key Performance Indicators (KPI) of regional development referring to cases in three research locations: Sibandang Village, Sidagal Village, and Hutatoruan I Village in North Tapanuli Regency, North Sumatra . The research uses a descriptive quantitative approach based on Data Desa Presisi (DDP). This study found that the lowest achievement of basic services was in Sidagal Village and the highest quality of basic services was found in Hutatoruan I Village. For this reason, this study recommends that the findings obtained be used as the basis for DDP-based regional development planning.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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