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Record W3122170529 · doi:10.33423/jabe.v21i6.2405

Criminal Businessmen, Commodity Frontiers and the Colombian State

2019· article· en· W3122170529 on OpenAlexvenueno aff
Marco Palacios

Bibliographic record

VenueJournal of Applied Business and Economics · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
FundersUniversidad de los Andes
KeywordsCommodityDrug traffickingAuthoritarianismState (computer science)Organised crimeGlobalizationPoliticsMoney launderingDemocracyPublic securityPolitical scienceBusinessPolitical economyEconomyLawMarket economyPublic administrationEconomicsCriminologySociology

Abstract

fetched live from OpenAlex

This article presents three micro-stories of Colombian businessmen of the criminal type who operated in commodity frontiers, known for the presence of intense public violence. In today's globalization, the Colombian economy made the transition from "coffee and industry" to "cocaine and services". Some authoritarian and modernizing policies of the Colombian State, mainly Uribe’s Defense and Democratic Security Policy, DDSP, 2002- 2010, have been central in the formation of a thick network of crime, business, public violence and politics as usual. Our micro historic analyzes are based mainly on judicial cases that shed light on links at various levels: (a) the growing supranationality of drug trafficking and money laundering crimes; (b) the drug trafficking substrate in the appearance of the new commodity frontiers; (c) drug trafficking as a model of a business training school particularly in Colombia's internal frontiers and (d) the fundamental link between the local and the global in the perspective of organized crime and businesses.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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
Published2019
Admission routes1
Has abstractyes

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