The<scp>Post‐Political</scp>Violence of Racial Property Regimes: Maintaining Gardens’ Land Insecurity through Abstract Codes in East Harlem,<scp>NYC</scp>
Bibliographic record
Abstract
Abstract Six community gardens on City‐owned land in East Harlem have been evicted and relocated for a private mixed‐income and mixed‐use development under Mayor de Blasio’s citywide affordable housing plan, Housing New York. Although the licence agreements enabling gardeners to use public land contained a clerical error concerning which lots gardeners could use, public–private coalitions generating urban space production forcefully affirmed their authority on the interpretation of documents, feeding into the bureaucratic violence of spatial abstraction and racial land injustice. Licence agreements are devices of control over space and its users, and tools of abstraction toward accumulation and racial capitalism. Black and Brown community gardeners have led efforts of urban regeneration when the City rolled back public services in inner‐city neighbourhoods and appropriated land improvements through licence agreements. Housing New York is now catalysing urban regeneration—or City‐led gentrification—for middle‐income and wealthy earners in neighbourhoods with a past of decline. Through the violent story of spatial abstraction and commodification of land used as community gardens, I show how the contestation around a piece of land during participatory governance unfolds through the state’s demonstration of authority with an aura of legality and transparency.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".