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Privacy and Surveillance: The Multidisciplinary Literature on the Capture, Use, and Disclosure of Personal Information in Cyberspace

2013· book· en· W1569144662 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

VenueOxford University Press eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCyberspaceInternet privacyThe InternetPersonally identifiable informationMultidisciplinary approachInformation privacyPrivacy policyMetaphorBusinessPolitical sciencePublic relationsComputer scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

This chapter covers the multidisciplinary literature on the protection of personal information in the online world, which extends back to the origins of social research on computing, and addresses the link between key structures of the Internet and the literatures on privacy and surveillance. Then, it turns to the literature on the role of international, legal, self-regulatory, and technological policy instruments in protecting personal information online. The nature of the Internet is entirely consistent with the metaphor of the ‘surveillant assemblage’. The Internet has become a fundamentally ‘surveillance-ready’ technology, and is becoming deeply integrated into the structures of social life. The rise of Internet-enabled surveillance and information control is significant. The story of privacy and surveillance is episodic and reflective of quite frenzied attempts to come to grips with unprecedented technological transformations in the light of the most recent scandal or controversy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.938
Threshold uncertainty score0.492

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.228
Teacher spread0.208 · 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