Bibliographic record
Abstract
Brave New Neighborhoods: The Privatization of Public Space. By Margaret Kohn. New York: Routledge, 2004. 256p. $85.00 cloth, $22.95 paper. In her first book, Radical Space: Building the House of the People (2003), Margaret Kohn analyzed the spatiality of early working-class activism in Italy and developed a sophisticated argument about the conditions for democratic empowerment. In this book, she shifts her attention to the United States. Aside from one chapter on the Wobblies, the focus is on the present. In both books, her emphasis is on the way in which the space for political engagement—“public space”—is constructed, sustained, controlled, or foreclosed. Her overarching theme is that theorists of democracy have paid far too little attention to the spatial conditions for democratic interaction. As she attempts to show in the present book, the privatization of public space—that is, the transformation of once-open downtowns into privately governed business improvement districts, the creation of privately governed gated communities in the suburbs and elsewhere, and the colonization of once-public space by private businesses—tends to insulate people from direct, physical encounters with people who are “different” or who may be attempting to persuade them to think otherwise about political issues. The trend toward privatization is particularly pronounced in the United States, and Kohn's concern here is to show us why we should be concerned about it, as democrats.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".