¡están en nosotros! el horror de la marginalidad y las fantasías de la clase media en un estudio de cine y literatura en Argentina, México y El Salvador durante la época neoliberal
Bibliographic record
Abstract
The present dissertation analyses several works of film and literature from the last quarter of a century in order to explore the influence of neoliberalism in Latin America, with a focus on Argentina, Mexico and El Salvador. The hypothesis is that the changes promoted by this program have been so deep, that have become an inescapable topic within these texts. Furthermore, this dissertation examines the constant presence of the marginal masses in these works, and their immediate relationship with the reconfiguration of neoliberal society. Through a close reading of the texts under a cultural studies optic, this research confirms the richness of fantasy, violence and science fiction for an analysis of the Latin American middle class’ ideology. Moreover, the masses appear as an integral part of such ideology and its psychological consequences. We can then observe two main tendencies regarding the vision of said masses: one as a polluting element that risks corrupting the lives of the middle class (Argentina), and one that identifies them with the sunk or the loser, as those who were unable to adapt to the new times and whose death has been naturalized (Mexico, El Salvador).
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".