Bibliographic record
Abstract
Due to its pervasive nature, contemporary surveillance and privacy issues have attracted the attention of scholars from various disci plines within law, the humanities, social sci ences, and computer science. The collection of books under review incorporates key writ ers on surveillance from both sides of the At lantic. Five main themes can be discerned in these books. First, is the issue of how to conceptualize surveillance. At the centre of the debate is Michel Foucault's disciplinary model, exemplified in the panopticon metaphor that was popularized in Discipline and Punish (1979), and owes its origins to the 18th century political economist Jeremy Bentham. In The Digital Person, Solove adopts an alternate bureaucratic metaphor that draws its inspiration from Franz Kafka's The Trial (1937) and resonates with Max We ber's writings on bureaucracy. A central fea ture of this metaphor is the dehumanizing effects of databases and thoughtless bu reaucracy and its indifference to people's as they lose control over their personal information. In a phrase borrowed from Gestalt psychology that are more than the bits of data we give off as we go about our lives (pp. 45-46), Solove points out that computerized data, even if accurate, is not nuanced enough to convey the true texture of the individual persona. According to Solove, there is no diabolical motive or se cret plan for domination (p. 41), even though as he admits errors in data mining and profiling may end up ruining people's by denying them jobs or putting them on a watch list. The solution to the bureau cracy conundrum is not to rely on the market but to devise an architecture that is based on regulation of digital dossiers. This view, which almost sees the outcome of surveillance in terms of bureaucratic indif ference and neglect, is only part of the story. It is hard to reconcile bureaucratic bungling as an explanation for the federal govemment's domestic spying activities after 9/11, which may be inefficient but nevertheless reflect a The Intensification of Surveillance: Crime, Terrorism and Warfare in the Information Age, edited by Kirstie Ball and Frank Webster. London, UK: Pluto Press, 2003. 176 pp. $25.00 paper. ISBN: 0745319947.
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 | 0.015 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.084 |
| Scholarly communication | 0.017 | 0.030 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".