Out, Damned Spot: Socio-economic Hygienic Practices of Business Improvement Districts
Bibliographic record
Abstract
In this paper, we propose and develop the concept of “socio-economic hygiene” to denote the ways in which neoliberal Western urban space is spatially regulated and re-oriented towards consumption in a way that reinforces social exclusion. By connecting genocide literature with that of urban sociology, we parallel “socioeconomic hygiene” with “racial hygiene” in order to highlight similar sociological motivations and spatial tactics within both regimes. This includes the enforcement of a binary within which dominant and subordinate identities are constructed; the naturalization of the “Other” either through biology (in the case of racial hygiene) or place (in the case of socio-economic hygiene); and the micro-political enforcement of ideological genocidal/neoliberal tenets “on the ground,” translating ideology into practical social cues. We conclude by tracking how sociological strategies of “hygiene” have moved from racial and biological features to features of place and socioeconomic status, and how BIDs, resembling genocidal states in certain ways, use these strategies to continually justify their own existence.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".