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Record W657512810

Surveillance : power, problems, and politics

2009· book· en· W657512810 on OpenAlexaboutno aff
Sean P. Hier, Joshua Greenberg

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsnot available
Fundersnot available
KeywordsCriminologyPoliticsPolitical scienceCriminalizationEconomic JusticeSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Foreword / Kevin D. Haggerty Introduction / Sean P. Hier and Josh Greenberg 1 The Politics of Surveillance: Power, Paradigms, and the Field of Visibility / Sean P. Hier and Josh Greenberg Part 1: Stigma, Morality, and Social Control 2 Kid-Visible: Childhood Obesity, Body Surveillance, and the Techniques of Care / Charlene D. Elliott 3 Police Surveillance of Male-with-Male Public Sex in Ontario, 1983-94 / Kevin Walby 4 A Kind of Prohibition: Targets of the Liquor Control Board of Ontario's Interdiction List, 1953-75 / Scott Thompson Part 2: Environmental Design, Consumerism, and Privacy 5 Natural Surveillance, Crime Prevention, and the Effects of Being Seen / Patrick F. Parnaby and C. Victoria Reed 6 Administering the Dead: Mass Death and the Problem of Privacy / Joseph Scanlon 7 Identity Theft and the Construction of Creditable Subjects / Sheryl N. Hamilton Part 3: Genetics, Security, and Biometrics 8 From Bodily Integrity to Genetic Surveillance: The Impacts of DNA Identification in Criminal Justice / Neil Gerlach 9 Communication and the Sorrows of Empire: Surveillance and Information Operations Blowback in the Global War on Terrorism / Dwayne Winseck 10 Bio-Benefits: Technologies of Criminalization, Biometrics, and the Welfare System / Shoshana Magnet Part 4: Participatory Surveillance and Resistance 11 Public Vigilance Campaigns and Participatory Surveillance after 11 September 2001 / Mike Larsen and Justin Piche 12 Cell Phones and Surveillance: Mobile Technology, States, and Social Movements / Simon J. Kiss 13 Subverting Surveillance Systems: Access to Information Mechanisms as Tools of Counter-Surveillance / Laura Huey References 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 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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.564
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.007
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.257
Teacher spread0.237 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations12
Published2009
Admission routes1
Has abstractyes

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