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Record W4376865261 · doi:10.33087/wjh.v7i1.1208

Penerapan Sanksi Disiplin terhadap Narapidana Yang Melakukan Pelanggaran Disiplin di Lembaga Pemasyarakatan Perempuan Kelas II B Jambi

2023· article· en· W4376865261 on OpenAlex
Dedy Syaputra, Said Sahabuddin

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

VenueWajah Hukum · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsCommitSanctionsDisciplineNonprobability samplingPrisonCriminologyClass (philosophy)SociologyDenialPsychologyLawPolitical sciencePopulationEpistemologyPsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

At present there have been violations committed by convicts in prisons, including the persecution of fellow criminals. Therefore, this research was conducted through empirical legal methods, which used a legal sociological approach, and there were three types of data sources, namely primary legal materials and secondary legal materials. The sampling technique was purposive sampling using data collection methods, namely interviews and documentary research to develop qualitative analysis. The matter of this research is the application of disciplinary sanctions against convicts who commit disciplinary violations based on Permenkumham Number 6 of 2013 in Class II B Jambi Women's Correctional Institutions is that there is no disciplinary action that will be taken against convicts of abuse cases in these prisons and the obstacles encountered in applying sanctions Discipline for convicts who commit disciplinary violations based on Permenkumham Number 6 of 2013 in the Jambi Class II B Women's Penitentiary is the lack of porcelain Class IIB Jambi Women's Prison, lack of support from inmates and inadequate infrastructure.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.323
Teacher spread0.290 · 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