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Record W2800253977 · doi:10.35457/supremasi.v6i2.393

KRIMINALISASI DALAM UU NO. 24 TAHUN 2007 TENTANG PENANGGULANGAN BENCANA

2016· article· id· W2800253977 on OpenAlex

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

VenueJURNAL SUPREMASI · 2016
Typearticle
Languageid
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Undang-Undang Nomor 24 Tahun 2007 tentang Penanggulangan Bencana merupakan salah satu sumber hukum pidana positif, oleh karena UU tersebut merumuskan Bab Ketentuan Pidana mulai Pasal 75 sampai dengan Pasal 79. Berdasarkan ketentuan pidana tersebut akan dapat diindetifikasi perbuatan-perbuatan apa saja yang merupakan tindak pidana penanggulangan bencana. Lebih lanjut, apabila ada yang melakukan perbuatan yang dilarang itu maka aparat peradilan pidana (polisi, jaksa, hakim, dan pemasyarakatan) akan melakukan penindakan dan penjatuhan pidana. Dengan demikian, UU No. 24 Tahun 2007 telah melakukan kriminalisai terhadap beberapa perbuatan yang terkait dengan masalah kebencanaan. Namun, sekalipun telah diundangkan bukan berarti persoalan telah selesai. Kebijakan kriminalisasi dalam UU No. 24 tahun 2007 tetap harus dianalisis guna mengantisipasi perbuatan-perbuatan kriminal sehubungan dengan penanggulangan bencana di Indonesia. Kajian yang dapat digunakan dalam rangka menganalisis kebijakan kriminalisasi dalam UU No. 24 tahun2007 adalah kajian politik hukum pidana.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.023
GPT teacher head0.281
Teacher spread0.257 · 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