Illegal Market Governance and Organized Crime Groups’ Resilience: A Study of The Sinaloa Cartel
Bibliographic record
Abstract
Abstract Since its emergence in the early 1990s, the Sinaloa Cartel has effectively surmounted all challenges to its existence, while, simultaneously, successfully developing its illegal ventures in Mexico and beyond. Based on evidence from the accounts of witnesses who testified in the prosecution of Joaquin Guzmán Loera (also known as El Chapo), one of the Sinaloa Cartel’s most prominent figures, we argue that this OCG’s resilience partially derives from the illegal governance practices it has implemented in the criminal markets in which it operates. In particular, we contend that the Sinaloa Cartel’s reliance on four types of illegal governance have been pivotal in promoting its capacity to weather adversity, namely: (1) judicial, (2) financial, (3) political and (4) regulatory governance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".