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Record W2592578340

Digital Citizenship and Surveillance| Surveillance Culture: Engagement, Exposure, and Ethics in Digital Modernity

2017· article· en· W2592578340 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

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsQueen's University
Fundersnot available
KeywordsCitizenshipSociologyVisibilityPublic relationsModernityState (computer science)Dimension (graph theory)Political scienceLawComputer sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

This article argues that to make sense of surveillance today, the concept of surveillance culture should be added to the conceptual tool kit. This goes beyond the important concerns of the surveillance state and surveillance society to examine how today’s subjects make sense of, respond to, and—in some cases—initiate surveillance activities. Building conceptually on Charles Taylor’s work, the concepts of surveillance imaginaries and surveillance practices are proposed as a means of analysis of how surveillance is engaged today. Previous studies have hinted at surveillance culture both explicitly and implicitly, but more is needed. This article explores further one illustrative dimension—that of online practices of sharing. These practices are seen, in turn, in relation to visibility and exposure. Finally, the concept of surveillance culture is shown to be relevant to current discussions ethics and of digital citizenship.

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)0.005
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0100.006
Open science0.0030.002
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 head0.323
GPT teacher head0.534
Teacher spread0.211 · 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