Legal Analysis of Judge's Determination on Marriage Dispensation Applications After the Issuance of the Supreme Court Regulation of the Republic of Indonesia Number 5 of 2019
Bibliographic record
Abstract
Supreme Court Regulation Number 5 of 2019 concerning Guidelines for Trialing Applications for Marital Dispensation after it is enacted, clearly describes the procedures and conditions for applications, how to settle cases, and submitting legal remedies. The purpose of this study is: to analyze the law on judge decisions and to understand the judge's considerations in taking the dispensation of marriage after the birth of Perma Number 5 of 2019 in Determination Number 28/Pdt.P/2021/PA.Pso at the Poso Class II Religious Court. The method used is because it is a type of empirical legal research; it uses a qualitative approach because the problems relate to humans, which fundamentally depend on observations whose research design uses field research by conducting observations, interviews, and documentation to the parties at the research location. The results of this study indicate that the judge used the legal analysis in case Number 28/Pdt.P/2021/PA.Pso uses maqashid al-Syari'ah and statutory regulations that are interconnected and sorted according to degree and year of publication. Regarding the judge's consideration in deciding case Number 28/Pdt.P/2021/PA. Pso used psychological considerations, and there was no compelling reason that what the Petitioner wanted so that his request was granted turned out to be rejected because of these considerations. The implication is that judges at the Poso Class II Religious Court are encouraged to attend training/guidance as Juvenile Judges so that they are more progressive in demonstrating their capacity to understand Islamic Law by matching it with statutory regulations in analyzing cases of the dispensation of marriage. Parents are advised to play an important role in providing supervision and attention to children in order to avoid things that deviate due to promiscuity and the government's role in socializing the age limit for marriage.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".