Drug Violence, Fear of Crime and the Transformation of Everyday Life in the Mexican Metropolis
Bibliographic record
Abstract
This dissertation brings sharp social theory, deep history and precise ethnography to illumine the nexus of social and urban structure, human emotions, and power. I draw on Norbert Elias, Emile Durkheim, Marcel Mauss, among other social theorists and historians, to counter dominant views of fear in the social sciences as a sole destroyer of the social fabric with evidence of how and why fear both tears and tightens the social fabric, both destroys and fosters solidarity. Yet with the exception of a few spaces of hope where families of victims of forced disappearances organized to demand justice from the state, this âtighteningâ of the social fabric did not transcend but rather exacerbated socio-spatial divides. I draw on comparative urban sociology by Teresa Caldeira, Gerald Suttles and Loïc Wacquant to trace the revamping of San Pedro, a suburb of the Monterrey Metropolitan Area and one of the wealthiest municipalities in Mexico, as an emerging state within a state for the upper classâan example of a new pattern of urban seclusion taking form in Latin America. This dissertation contributes to the sociology of everyday life in the city and the political sociology of fear and violence by providing a rare case study of cross-class responses to gruesome violence.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".