Analysis of International Terrorism Criminography in the Event of September 11th, 2011
Bibliographic record
Abstract
<p>Terrorism and terroristic system are among domestic, regional and international challenging problem in the first decade of the 21st century in the era when terrorism has turned from an individual threat to a global problem as a weapon to achieve national goals, specific groups have become no longer limited to national and regional borders and are gaining new concept and application (or they are trying to develop a new international purpose). It is feared that the spread of international peace and security in its all areas exposed to risk. In fact, the international communities felt the crisis and the danger and criminalizing this phenomenon after the attack on the twin towers of the world trade center on September 11, 2001 with unknown purposes in New York City [29] determining the failure of the international anti-terrorism strategies of these events, showed that anti-terrorism system is unsuccessful. So shortly after the attacks, the UN Security Council , recognizing the possibility of resorting to self-defense against international terrorism, subjects of international law again to pass the international anti-terrorism calls for conventions domestic laws to crack down terrorists.</p>
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".