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Record W7067706092

Nations Hospitable to Organized Crime and Terrorism

2003· article· en· W7067706092 on OpenAlexaboutno aff

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSeriousnessTerrorismOrganised crimeGlobalizationSoviet unionEuropean unionGovernment (linguistics)Law enforcement
DOInot available

Abstract

fetched live from OpenAlex

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.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.280
Teacher spread0.263 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2003
Admission routes1
Has abstractyes

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