Nations Hospitable to Organized Crime and Terrorism
Bibliographic record
Abstract
This report assesses conditions that contribute to or are potentially hospitable to transnational criminal activity and terrorist activity in selected regions of the world during the period 1999-2002. Although the focus of the report is on transnational activity, domestic criminal activity is recognized as a key foundation for transnational crime, especially as the forces of globalization intensify. The report has been arranged geographically into the following major headines: Africa, the former Soviet Union and Eastern Europe, South Asia, Southeast Asia, Western Europe, and the Western Hemisphere. Within the geographical headines, the report addresses individual countries with particularly salient conditions. Cases such as the Triborder Area (TBA) of South America and East and West Africa, where conditions largely overlap national borders, have been treated as regions rather than by imposing an artificial delineation by country. The bibliography has been divided into the same geographical headings as the text. The major sources for this report are recent periodical reports from Western and regional sources, Internet sites offering credible recent information, selected recent monographs, and personal communications with regional experts. Treatment of individual countries varies according to the extent and seriousness of conditions under study. Thus some countries in a region are not discussed, and others are discussed only from the perspective of one or two pertinent activities or conditions. Because they border the United States, Canada and Mexico have received especially extensive treatment.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".