Struggles for Recognition in the Postcolony: The Zapatistas and Narcocultura
Bibliographic record
Abstract
This project has two objectives: 1) interrogating the idea that the upsurge in violence in Mexico is purely the result of a competition over material interests; and 2) arguing that the proliferation of social conflicts that blur the distinctions between political resistance and criminality (i.e., transnational gangs, drug-cartels) might be the result of the aporias between the legal and political institutions of modernity and the corporatist legacies of colonialism. First, to explain social conflict I deploy Axel Honneth’s model of the struggle for recognition as an alternative to the Hobbesian paradigm of self-preservation. Second, I unearth the moral claims raised by the Zapatistas as a point of comparison. Third, in order to identify the non-material motivations behind drug-related violence, I raise to the surface the moral claims implicit in the cultural products of narcocultura and read them as symbolic expressions of insurgency. Finally, I conclude that the perpetuation of corporatist practices of racist and classist discrimination, when combined with a post-conventional public discourse that praises individual achievements as the source of social esteem, not only generates experiences of disrespect against marginalized groups but also hinders the development of the shared languages necessary to transform those experiences into collective political resistance.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.050 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".