Menilik Peran Dewan Perwakilan Daerah dalam Pembangunan Daerah Provinsi Jawa Barat dan Daerah Khusus Ibukota Jakarta
Bibliographic record
Abstract
The Regional Representative Council (DPD) as a regional representative institution that has a character of representation based on regions is essentially a character of broader representation of the DPR, because the dimension of representation is based on all the people contained in these regions. DPD as a new state institution after the amendment to the 1945 Constitution was initially expected to realize a bicameral system, as a representative body of the people, the DPD has functions as regulated in the 194 5 Constitution. These functions are legislative functions, functions budget, and consideration functions. However, according to the Indonesian constitutional system the authority of the DPD is still very limited. All tasks and authorities of the DPD are limited to aspects that are closely related to the region. In carrying out its role and function as the second chamber in the Indonesian bicameral system, the Regional Representative Council is considered to have some weaknesses. including in terms of accommodating the aspirations of the region and the ineffectiveness of the role of the Regional Representative Council in carrying out all functions that have been given to the DPD by the 1945 Constitution. These constraints have an impact not only at the central level but also at the regional level. The limitations of the DPD also have an impact on regional development and national development.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.007 |
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".