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Record W4407774279 · doi:10.62279/yustitia.v19i2.1356

IMPLIKASI NONDISKRIMINASI PEMBERIAN HAK BERSYARAT DALAM UNDANG-UNDANG NOMOR 22 TAHUN 2022 TENTANG PEMASYARAKATAN DI LEMBAGA PEMASYARAKATAN NARKOTIKA KELAS IIA BANGLI

2024· article· id· W4407774279 on OpenAlexaff
NI LUH PUTU PELITA CAHYANI

Bibliographic record

VenueJurnal Yustitia · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Perkembangan hukum pidana mengikuti pola kehidupan manusia memaksa beberapa tindak pidana harus diatur diluar KUHP sehingga pengaturannya bersifat khusus. Kekhususan ini menyebabkan perlakuannya juga “khusus” sehingga mendiskriminasi hak-hak bersyarat bagi narapidana dengan kasus ini. Hal ini bertentangan dengan UUD 1945 sehingga Undang-Undang Nomor 22 Tahun 2022 tentang Pemasyarakatan lahir sebagai reaksi terhadap diskriminasi ini. Penegasan asas nondiskriminasi dilakukan demi mewujudkan tujuan awal pemasyarakatan. Lapas Narkotika Bangli dipilih sebagai locus penelitian untuk mengetahui implikasi nondiskriminasi pemberian hak bersyarat kepada narapidana narkotika. Penelitian ini merupakan penelitian yuridis empiris yang bersifat deskriptif. Jenis data yang digunakan adalah data primer data sekunder. Teknik pengumpulan data melalui teknik wawancara dan studi kepustakaan dengan teknik pengolahan data secara kualitatif. Penerapan nondiskriminasi pemberian hak bersyarat di Lapas Narkotika Bangli belum dapat diterapkan secara maksimal akibat keterlambatan pemenuhan syarat administrasi oleh petugas sehingga diskriminasi waktu pemberian. Implikasinya dapat dilihat dari sisi positif dan negatif. Dari sisi positif terjadi penurunan overkapasitas walaupun tidak signifikan, tidak adanya gangguan keamanan dan ketertiban dan peningkatan indeks kepuasan masyarakat. Implikasi negatifnya adalah peningkatan beban kerja petugas dalam memenuhi syarat administratif akibat minimnya jumlah petugas dan tingginya jumlah narapidana yang memenuhi syarat

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), 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: none
Teacher disagreement score0.406
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.004

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 head0.018
GPT teacher head0.300
Teacher spread0.281 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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