"The war on crime": The securitization of narco-trafficking in Mexico during the Calderon administration.
Bibliographic record
Abstract
This thesis applies the securitization framework developed by Barry Buzan, Ole Waever and Jaap de Wilde (1998) to study the case of Mexico during the government of Felipe Calderón. I use discourse and content analysis to answer the following questions: How and why has narco-trafficking been securitized during the Calderón government? What are the consequences of this securitization? I argue that Calderón successfully securitized narco-trafficking by using a rhetoric that emphasized the moral otherness' of criminals, resulting in two important consequences: the neglect of social approaches to combat narco-trafficking and the use of this discourse to limit government accountability regarding the high number of casualties in the country. I conclude by arguing that exploring the link between narco-trafficking and securitization theory can bring about new insights to guide theoretical research and policy making. --Leaf ii.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| 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".