JARINGAN TERORIS SOLO DAN IMPLIKASINYA TERHADAP KEAMANAN WILAYAH SERTA STRATEGI PENANGGULANGANNYA (Studi Di Wilayah Solo, Jawa Tengah)
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.
Bibliographic record
Abstract
The Solo terrorism network was affected by the Darul Islam which had mutated into radical Islam groups and then into new terrorist group.The main reason was new political motive with religious cover and supported with other factors.The purpose of this research was to discovered the origin, extend, and cause of the terrorism establishment and to discover the Indonesia's terrorism.The object of this research was Solo terrorism network as the biggest terrorist network in Indonesia with connection to various countries, and also all Indonesia terrorism related to this network.This research was conducted with in depth interview on the terrorist victims, agency, and former sect member who considered as terrorist.It showed that the Solo new group network was more amateur than the older one even though the ideology was similar.The Solo terrorism actions had affected the regional security especially the ideology, politics, economic, social and human security.Terrorism prevention in Solo had caught and dismantle Solo new terrorism network although with various fl aws that needed to be fi xed.The effective terrorism prevention strategies were law enforcement, prevention, deradicalization, and disengagement which had to well organized and shared together.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it