Bibliographic record
Abstract
Citation (2008), "Edited by", Deflem, M. and Ulmer, J.T. (Ed.) Surveillance and Governance: Crime Control and Beyond (Sociology of Crime, Law and Deviance, Vol. 10), Emerald Group Publishing Limited, Bingley, p. ii. https://doi.org/10.1016/S1521-6136(07)00221-7 Publisher: Emerald Group Publishing Limited Copyright © 2008, Emerald Group Publishing Limited Book Chapters Edited by Edited by Copyright page Dedication List of contributors Introduction: An eye on surveillance and governance Community, surveillance and border control: The case of the minuteman project The politics of sight/site: Locating cameras in Vancouver's public spaces The conquest of space: New York City's new frontier of social control The check and the guardianship: A comparison of surveillance at an airport and a housing-estate area in the Paris outskirts : Global control without a state?Lex vigilatoria Technologies of the body, technologies of the self: House arrest as neo-liberal governance Academia, surveillance, and the FBI: A short history “What if she's from the FBI?” The effects of covert forms of social control on social movements Plural policing and CCTV surveillance The new lateral surveillance and a culture of suspicion Citizenship, hyper-surveillance, and double-consciousness: Racial profiling as panoptic governance Hacking the panopticon: Distributed online surveillance and resistance Surveillance and sovereignty Surveillance and educational testing: No child left behind and the remaking of American schools Governing beyond command and control: A responsive and nodal approach to child protection From thought control to traffic control: CCTV politics of expansion and resistance in post-Olympics Greece Subject Index
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.688 | 0.583 |
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".