Bibliographic record
Abstract
This article seeks to refine understandings of the governmental logics that comprise and shape urban governance. Drawing on research using ethnographic methods that explore the business improvement district (BID) and the condominium corporation (condo) it is argued that exclusive focus on urban neo-liberalism neglects an urban ”police.” This latter logic is most famously remarked upon in Michel Foucault’s writings as targeting “little things” in urban spaces. Both “police” and the ”free rider problem” it confronts predate and are irreducible to neo-liberalism. Ethnography helps discern this “police” as well as how neo-liberalism relates to it in private urban realms typically hidden from view. Examining BIDs and condos in this way shows that neo-liberalism and “police” co-exist and combine in the governance of urban residential and commercial life. This matters because it reveals a more complex picture of urban governance than is sometimes assumed when neo-liberalism is exclusively invoked and one that is necessarily considered when conceiving of alternative governing arrangements.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.046 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".