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Record W4410546594 · doi:10.59966/yudhistira.v1i3.1681

Kekuatan Mengikat Putusan Hakim dalam Praktik Peradilan Perdata: Studi Yurisprudensi Terpilih

2023· article· id· W4410546594 on OpenAlex
Husnul Farida

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

VenueYUDHISTIRA Jurnal Yurisprudensi Hukum dan Peradilan · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Tujuan penelitian ini adalah untuk menganalisis kekuatan mengikat putusan hakim dalam praktik peradilan perdata serta memeriksa bagaimana yurisprudensi berperan dalam membentuk dan memengaruhi putusan tersebut. Penelitian ini menggunakan metode pendekatan kualitatif dengan studi kasus pada beberapa putusan yurisprudensi terpilih yang relevan dalam konteks peradilan perdata di Indonesia. Teknik pengumpulan data dilakukan melalui analisis dokumen putusan pengadilan serta kajian terhadap literatur terkait. Hasil penelitian menunjukkan bahwa meskipun putusan hakim dalam peradilan perdata memiliki kekuatan mengikat, pengaruh yurisprudensi dalam praktik peradilan berperan penting dalam meningkatkan konsistensi keputusan serta sebagai pedoman bagi hakim dalam menangani perkara serupa di masa mendatang. Kesimpulannya, meskipun yurisprudensi tidak bersifat mengikat secara eksplisit, namun praktik peradilan perdata menunjukkan bahwa putusan-putusan sebelumnya tetap memiliki pengaruh signifikan dalam pembentukan hukum.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.004
Science and technology studies0.0090.003
Scholarly communication0.0030.001
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.005

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 head0.030
GPT teacher head0.316
Teacher spread0.286 · 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