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Record W4238168935 · doi:10.31219/osf.io/hgw5a

MAHKAMAH SYAR’IYAH DAN WILAYATUL HISBAH SEBAGAI GARDA TERDEPAN DALAM PENEGAKAN QANUN JINAYAT DI ACEH

2020· preprint· en· W4238168935 on OpenAlex
Ali Geno Berutu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsLaw enforcementLawShariaEnforcementPolitical scienceGeographyIslam

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.041
GPT teacher head0.325
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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