Manufacturing Modernity: Cleaning, Dirt, and Neoliberalism in Chile
Bibliographic record
Abstract
Since the coming to power in 1973 of the military dictatorship of General Augusto Pinochet, neoliberalism in Chile has been discursively tied to the goal of “modernizing” Chilean society. This discourse of modernization has relied for its articulation upon another important discourse, that of “cleanliness” as a marker of progress: clean spaces are seen as those of modernity whereas dirty spaces are taken to represent social and economic “backwardness”. In this paper, then, we explore how spaces which are considered emblematic of the modern economy—shopping malls, giant office complexes, university campuses—are maintained as clean spaces. However, in order for the discourse of cleanliness as modernity to work, it is crucial that the corridors of mobility—train routes, subways, city streets—which allow passage between these nodes of the modern economy also be maintained as sanitary spaces. The result is the construction discursively of an almost seamless nexus of hygienic spaces, one which stands in contrast to the dirty spaces of the “other” Chile. The paradox in all of this, however, is that the workers who are crucial to this project—janitors—have suffered greatly as a result of neoliberalism.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".