PERENCANAAN LEMBAGA PEMASYARAKATAN WANITA YANG HUMANIS
Bibliographic record
Abstract
Perubahan istilah penjara menjadi lembaga pemasyarakatan bertujuan agar warga binaan yang sedang berada di dalamnya, dapat dihargai sebagai manusia dan kelak menjadi manusia yang lebih baik. Guna menunjang kegiatan membina, diperlukan fasilitas Lembaga Pemasyarakatan (Lapas) yang dapat mendukung kebutuhan kegiatan. Tujuan penulisan naskah ini adalah untuk memperlihatkan sebuah proses pencarian studi guna mendapatkan pemahaman mengenai konsep humanis yang dapat diterapkan pada perancangan lapas, khususnya lapasnya perempuan. Melalui kajian pustaka berupa pemahaman terhadap gambar-gambar yang diperoleh melalui pencarian secara daring, dilakukan kegiatan memilah dan memilih informasi yang berkaitan dengan lapas yang humanis. Hasil studi memperoleh pemahaman mengenai gambaran sebuah lapas dalam penyediaan fasilitas yang dianggap dapat memanusiakan manusia, dalam hal ini adalah para warga binaan.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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.
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".