Upaya Preventif Penanggulangan Penipuan Bisnis Online Di Wilayah Hukum Polsek Lengkong Kota Bandung
Bibliographic record
Abstract
Maraknya Kasus penipuan bisnis online dipengaruhi oleh kemajuan teknologi. Wilayah Hukum Polsek Lengkong, Kelurahan Malabar adalah wilayah yang sebagian besar masyarakatnya memiliki kemampuan ekonomi menengah ke atas dan mempunyai tingkat akses yang tinggi terhadap cyber space, sehingga masyarakat tersebut sangat berpotensi dijadikan sasaran kejahatan oleh pelaku tindak pidana penipuan online. Atas dasar hal tersebut maka para pengabdi telah melaksanakan kegiatan sosialisasi hukum tentang cyber space dan penegakan hukum atas kejahatan penipuan bisnis online sebagai upaya preventif di Wilayah Hukum Polsek Lengkong Kelurahan Malabar Kota Bandung.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.006 |
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".