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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 OpenAlexaff
Colin J. Bennett, Christopher Parsons

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0030.012
Scholarly communication0.0090.011
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.002

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2013
Admission routes1
Has abstractyes

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