Media, communication and the establishment of public camera surveillance programmes in Canada
Bibliographic record
Abstract
Throughout Europe and North America, policing services, government agencies and private-sector interests have turned increasingly to open-street closed-circuit television (CCTV) surveillance to address crime, fear of crime and perceptions of social disorder. Although recent scholarly contributions have displaced the traditional explanatory reliance on the panopticon with mechanisms of consumer seduction, ‘post-panoptic’ insights into the establishment of open-street monitoring programmes have not advanced completely beyond the determinism reminiscent of the exercise of panoptical power. With the intention of supplementing the displacement of the panoptic paradigm with a less deterministic and more flexible framework, we conceptualize the establishment of public monitoring programmes in terms of the central role of communications and media in surveillance policy development and change. Presenting empirical data from an investigation of public camera surveillance in Canada, we develop theoretical and, necessarily, empirical insights that enable us to move beyond explanatory emphases on responsibilization strategies and social ordering techniques.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".