Honourable Mention: Narcoland: Organized Crime-Related Violence in the Mexican State
Bibliographic record
Abstract
President Felipe Calderón came to power in Mexico on December 2006 and essentially declared war on Mexican transnational criminal organizations (TCO). However, instead of quelling the violence, violence actually increased dramatically over the course of Calderón’s administration, especially between 2008 and 2011. This paper investigates Calderón’s national counter narcotics strategy and key developments in the various Mexican TCOs over Calderon’s administration. While many observers would quickly label Mexican TCOs as insurgents, the reality is that these actors act more like rational economic actors. Contrary to insurgents, their aims are not political but purely economical. The increased violence can be attributed to a gradually more aggressive, yet rational, counter narcotics approach from the Mexican government causing the various TCOs to adapt their strategies to the new strategic environment shaped by government actions. These new strategies by these rational economic actors have caused the dramatic increase in the level and brutality of the violence perpetrated in Mexico over the time period in question.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".