Problems of Democratic and Dignified Election in Indonesian Simultaneously Electoral Era
Bibliographic record
Abstract
This research was motivated by the section material in Act No. 7 of 2017 concerning General Election that not arranged in a structured, systematic and massive, so it appears the section material that overlaps with Constitutional Court and the Constitution of 1945. The purpose of this study is to analyze the problems of simultaneous elections in 2019 in order to bring democracy with dignity and integrity in the next election. The research type is a literature study. This research uses laws and conceptual approach. The main data of this study is obtained from primary and secondary law materials. The result showed that the problems in the section material of Electoral Lawimplicate to the practice, namely the chaos in updating of the voter list led to manipulation fraudulent of the voters list,10,520 polling stations had a shortage of election supplies, ballot boxes Voting Organizing Group received thatnot sealed as many as 6,474 polling stations, ballot papers that exchanged between Electoral District as many 3,411 Voting place and 527 Voting Organizing Group officer died and 11 239 sick.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".