Risky Spaces and Dangerous Faces: Urban Surveillance, Social Disorder andCCTV
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the early 1990s, there has been a steady increase in the use of closed circuit television cameras to monitor public space(s) across Europe and North America. The existing theoretical literature has tended to explain the resort to CCTV in the context of disciplinary subjection. Whereas one set of studies explains CCTV surveillance using the metaphor of panopticon, more recent argumentation has identified CCTV as a ‘social ordering strategy’ which serves the interests of elite/business partnerships through risk-based modes of neoliberal regulation. This article provides insight into the hitherto neglected emotional and affective dimensions of the adoption of CCTV monitoring programs, privileging the role of social antagonism in the consolidation of public surveillance schemes. Developing one explanation for the ascension of open-street monitoring which advances the literature beyond the dominant materialideological perspective(s), the article engages insights from Foucauldian and psychoanalytic theory to explicate the reciprocal functioning of grievance and risk-based modes of problematization, set in a wider imaginary web of relations, in the symbolic constitution of social disorder as a mechanism of affective governance.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it