MAHKAMAH SYAR’IYAH DAN WILAYATUL HISBAH SEBAGAI GARDA TERDEPAN DALAM PENEGAKAN QANUN JINAYAT DI ACEH
Bibliographic record
Abstract
Legal effectiveness is a process that aims so that the law can be effective. Synergize between what is in the rules of a number of rules for the creation, maintenance and maintenance of peace in social life. This situation can be reviewed on the basis of several measures of effectiveness. According to Soerjono Soekanto, the main problem in law enforcement is located in its own law (the prevailing laws and regulations), law enforcers, namely those who oversee the application of law, facilities or facilities that support the application of law, the community where the law is applied and legal culture in the community. These five factors are closely related due to the essence of law enforcement. The five factors are a benchmark of the effectiveness of the application of the law. In this article the author tries to describe the functions of the Sharia law enforcement institutions in Aceh, namely the Mahkamah Syar'iyah and Wilayatul Hisbah.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".