Driven from New Orleans: How Nonprofits Betray Public Housing and Promote Privatization, John Arena, Minneapolis: University of Minnesota Press, 2012
Bibliographic record
Abstract
Abstract InDriven from New Orleans, John Arena focuses on the contradictory role of nonprofits in facilitating the consensual removal of poor, black residents from inner-city spaces as the result of the privatisation and demolition of public housing. His account is constructive for delving into the on-the-ground struggles around public housing and the complexities of urban politics, and, more importantly, for situating the housing question at the heart of working-class struggles. His emphasis on how the gradual construction of consent was imperative in paving the way for the sudden application of coercive force in the aftermath of Katrina is also a welcome correction to arguments that tend to see the post-Katrina policies as the cause célèbre of the striking and rapid reconfiguration of New Orleans. Arena, however, falls short of providing a historicised analysis of urban politics and the politics of nonprofits.
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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 | 0.003 | 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 | 0.014 | 0.017 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".