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Record W1983283170 · doi:10.1177/0270467607311483

Wikisurveillance: A Genealogy of Cooperative Watching in the West

2007· article· en· W1983283170 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBulletin of Science Technology & Society · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicAcademic Research and Education Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsLaw enforcementVoyeurismEnforcementZeitgeistPolitical sciencePolice brutalityInternet privacyPublic administrationLawSociologyComputer science

Abstract

fetched live from OpenAlex

This article interrogates the relationship between technology and law enforcement and how changing police surveillance techniques have influenced Western expectations of privacy from the mid-19th century to the present. By examining the evolution of telecommunications devices in particular, the author identifies a diffuse and publicly inclusive system of collaborative data mining maintained by private citizens—a culture of wikisurveillance—as being a technologically determined consequence of police reforms made in 1829 Britain. From the now extinct police signal box to modern AMBER alerts, technology allows the police to be divested of their public presence as mechanical surveillance responsibilities are willingly usurped by private enterprise and largely unaccountable civilians who collectively coauthor and codify the occidental discourse on privacy. As public and private spaces alike become increasingly subject to internal, unregulated monitoring that mimics the police methodology, this article explores the origins of our present zeitgeist of mediated voyeurism.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.306
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it