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Record W2905442713 · doi:10.24908/ss.v16i4.6773

Regulating Visibility: Secrecy and Surveillance in Insular Religious Communities

2018· article· en· W2905442713 on OpenAlexaff
Deirdre McDonald

Bibliographic record

VenueSurveillance & Society · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsSecrecyVisibilityPerspective (graphical)SociologyEnvironmental ethicsRelation (database)Public relationsPolitical scienceLawGeographyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Insular religious communities offer significant insights into some of the issues facing contemporary Western societies, including the issues of religious secrecy and surveillance. The role of secrecy in these communities involves dynamic strategies invoked for many reasons in equally numerous contexts. The behaviours and practices of these groups often reflect much larger issues present in today’s society. In this way, they can guide us in understanding the role of surveillance from a sociological perspective in the current climate of tensions and anxieties. These communities are especially useful for thinking about questions of why some religious groups rigidly control and restrict access to bodies of secret, sacred knowledge or activities and in turn how religious secrecy is viewed by the wider social worlds in which their degree of visibility fluctuates. Here, I suggest an opportunity emerges for the study of secrecy in relation to the notion of regulating visibility by reorienting the focus from the roles of secrets and of secretive practices to one that also considers the more visible forms and strategies through which secrets and secretive practices come to be and are sustained.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.242
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2018
Admission routes1
Has abstractyes

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