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Record W2323007045 · doi:10.1177/0953946813509334

Surveillance and the Eye of God

2014· article· en· W2323007045 on OpenAlexaff
David Lyon

Bibliographic record

VenueStudies in Christian Ethics · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theology and Sovereignty
Canadian institutionsQueen's University
Fundersnot available
KeywordsPanopticonSociologyRelation (database)GazePower (physics)AestheticsEnlightenmentLawModernityEpistemologyPhilosophyPsychologyPolitical sciencePsychoanalysisComputer scienceBrother

Abstract

fetched live from OpenAlex

Surveillance is sometimes spoken of as a God’s eye view of the world. This idea is explored in relation to the ‘objective gaze’ of disengaged reason in the Enlightenment and its technologically-reinforced modes in the twenty-first century. The rise of the eye-centred viewpoint is coincident with the ‘great disembedding’ of individuals from the social. This in turn also prompted the self-disciplines of modernity, which are now key aspects of the power-base of modern institutions. A crucial moment in this shift was Bentham’s panopticon proposal, in which the knowledge regime of secular ism started to shape social imaginaries in relation to surveillance. While secular omniscience was sought through the surveillance gaze, and explored later in the work of Foucault, Debord and others, the eye-centred view is not without critics. We draw upon some biblical resources, notably, the story of Hagar, that query the centrality of ‘objective vision’. Instead, an ethic of care is proposed, based in part on a fresh understanding of the ‘eye of God’. It is argued that the implications of the care ethic go far deeper than current appeals to privacy, data protection, civil liberties or human rights.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.039
Scholarly communication0.0060.008
Open science0.0000.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.102
GPT teacher head0.445
Teacher spread0.342 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations21
Published2014
Admission routes1
Has abstractyes

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