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Record W4377009589 · doi:10.33087/legalitas.v14i2.376

Sinergitas Penegak Hukum, Pemerintah Daerah, Masyarakat Dalam Penegakan Hukum Tindak Pidana Perdagangan Orang Melalui Prostitusi Online di Wilayah Hukum Kepolisian Daerah Jambi

2023· article· id· W4377009589 on OpenAlex
Suzanalisa Suzanalisa, Nuraini Zachman, Ibrahim Ibrahim

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

VenueLegalitas Jurnal Hukum · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Prostitusi online sampai saat ini terus terjadi dengan berbagai modus memanfaatkan internet sebagai wujud revolusi 5.0. hal ini mengakibatkan rusaknya moral bangsa terutama genrasi penerus bangsa dan mengancam kelangsunagn hidup bangsa dan Negara di masa mendatang. Pancasilan sebagai ideology akibat tindak pidana ini tentunya dapat juga meruntuhkan ketahanan nasioanal. Provinsi Jambi sebagai focus penelitian prostitusi online yang terus terjadi diwilayah ini maka diperlukan kajian pengembangan menggunanakan metode penelitian Yuridis Empiris yang bertujuan untuk menganalisis sejauh mana Sinergitas Penegak Hukum, Pemerintah Daerah, Masyarakat dalam Penegakan Hukum Tindak Pidana Perdagangan Orang Melalui Prostitusi Online Di Wilayah Hukum Kepolisian Daerah Jambi, dan menganalisa strategi yang dilakukan terhadap Sinergitas Penegak Hukum, Pemerintah Daerah, Masyarakat dalam Penegakan Hukum Tindak Pidana Perdagangan Orang Melalui Prostitusi Online Di Wilayah Hukum Kepolisian Daerah Jambi

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.006
Science and technology studies0.0080.004
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.035
GPT teacher head0.327
Teacher spread0.292 · 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