Signs of the Surveillant Assemblage: Privacy Regulation, Urban CCTV, and Governmentality
Bibliographic record
Abstract
Signage in urban ‘open-street’ CCTV arrangements is explored in relation to the strategies and forms of law brought to bear upon it. In the context of privacy regulation, CCTV signage’s content reflects deterrence strategies and political subjectification consistent with liberal governmentality. CCTV signage is evinced to be both an agent and target of privacy and other forms of law and is therefore shaped and brought into being by complex webs of legal governance. Rather than befitting panoptic arrangements or merely amplifying CCTV’s deterrent effects, CCTV signage signals and serves as a vital element of the surveillant assemblage. Possessing varied functions, including features attributed to surveillance cameras, CCTV signage is a material means by which the surveillance assemblage interfaces with the legal complex and by which urban time-spaces are constituted. This analysis moves beyond previous accounts of regulatory signage and has broad implications for governmentality and surveillance studies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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 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".