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Record W2521601285 · doi:10.5539/ass.v12n10p35

Analysis of Drug Trafficking and Insurgency Correlation: Case Study of Economic Cooperation Organization (ECO) Region

2016· article· en· W2521601285 on OpenAlexvenueno aff
Mohammad Naji Shah Mohammadi, Salawati Mat Basir, Elmira Sobatian

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsDrug traffickingInsurgencyTerrorismIllicit drugHeroinProfit (economics)CriminologyPositive correlationPolitical scienceDrugDevelopment economicsMedicinePsychologyEconomicsPsychiatryPoliticsLawInternal medicine

Abstract

fetched live from OpenAlex

<p>ECO member states are among a big producer of opium and heroin in the world and all trafficking routes used for trafficking illicit drugs to the world pass through ECO countries. On the other hand many insurgent groups are actively involved in illicit drug trafficking. ECO’s Main objective is economic development in its region and directly unproductive profit seeking activities such as drug trafficking and insurgency is tight barrier to reach this goal. The aim of this research is to investigate the correlation between drug trafficking and insurgency in ECO region and identify the reasons for this connection to cope with this problem. There are various theories, which attempt to explain the relationship between drug trafficking and insurgency. Generally speaking, it appears that it is not sensible to lump organized crime groups, who conduct drug trafficking, and terrorist groups together in ECO area. Although there are some links between them, they have essential motivational and operational discrepancies.</p><p> </p><p> </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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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