Comparative Judicial Emergency Administration during Pandemic Covid-19
Bibliographic record
Abstract
The Decree of a state of emergency affects not only the executive and legislative branches but also the judiciary. The Covid-19 Pandemic in various countries has both direct and indirect effects on the judiciary, especially in the performance of its duties and functions. This article is to found out the answer of two research question first, how court administration in the United States and Indonesia responds to the Covid-19 pandemic emergency and second, how is its reflection in on optimizing access to justice for court administration even under in the state of emergencies to the pandemic Covid -19. This study uses the comparative method by a study on legal material and practice of judicial emergency in other countries to take the best material and approach to provides advice that needs to be avoided in Indonesian Judiciary. This article has a novelty that legal material in the Judiciary act and procedural law books so limiting delegation to set supplementary regulations for each court and creating potential uniformity for emergency policy in the judiciary.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".