Kekuatan Mengikat Putusan Hakim dalam Praktik Peradilan Perdata: Studi Yurisprudensi Terpilih
Bibliographic record
Abstract
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.
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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 | 0.012 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".