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Record W2032649000 · doi:10.1080/10576100701558620

The Kurdish Workers Party (PKK) as Criminal Syndicate: Funding Terrorism through Organized Crime, A Case Study

2007· article· en· W2032649000 on OpenAlexaboutno aff
Mitchel P. Roth, Murat Sever

Bibliographic record

VenueStudies in Conflict and Terrorism · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsSyndicateCriminologyTerrorismPolitical scienceHuman factors and ergonomicsPoison controlLawPsychologyMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Scholars have long recognized that terrorist groups have engaged in transnational organized crime activities. But the question that comes up is, “When does a criminal enterprise become a terrorist group or vice versa?” Terrorist groups have used physical violence, participated in weapons and drug trafficking networks, immigrant smuggling, and money laundering. More recently a number of terrorist groups have established what Jonathan White has referred to as “illegal multinational criminal organizations.” This article will examine the convergence of terrorism and organized crime through the prism of the Kurdish Workers' Party (PKK).

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0190.007
Scholarly communication0.0060.004
Open science0.0020.005
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.130
GPT teacher head0.453
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations122
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueStudies in Conflict and TerrorismSame topicTerrorism, Counterterrorism, and Political ViolenceFrench-language works237,207