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Record W2061001041 · doi:10.1558/rsth.v28i1.63

Surveillance in New Religious Movements

2009· article· en· W2061001041 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

VenueReligious Studies and Theology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSecrecyVariety (cybernetics)Power (physics)Order (exchange)SociologyLawHistoryAestheticsPolitical scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Contemporary discourse on surveillance tends not to account for the types of surveillance and security measures that both traditional and alternative religions adopt. Certainly, many religions have for centuries recorded, and thus, monitored, the lives of their followers. English parish records noting lives, baptisms, deaths and so forth is one such example originating in the sixteenth century. When one thinks of contemporary surveillance, however, more sophisticated strategies involving new technologies typically comes to mind. This article offers an examination of the numerous traditional and newer surveillance techniques of one particular new religious movement—Scientology. This movement employs a variety of stratagems in order to preserve a high level of secrecy regarding both its central doctrines and some of its activities. This article suggests that Scientology’s surveillance methods are driven not only by the group’s desire to protect its interests, but also by the quest for control (and hence, for power) that the group’s founder, L. Ron Hubbard, sought throughout his life and left as an institutional legacy after his death.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.030
GPT teacher head0.286
Teacher spread0.256 · 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