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Record W2799917493 · doi:10.1525/nr.2018.21.4.38

Thinking inside the Cages

2018· article· en· W2799917493 on OpenAlexaff
Michael Driedger

Bibliographic record

VenueNova Religio The Journal of Alternative and Emergent Religions · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsBrock University
Fundersnot available
KeywordsAnabaptistsMillenarianismSiegeHistoriographyAstrologyCriticismPaganismHistory of religionsSociologyPhilosophyLiteratureHistoryReligious studiesLawClassicsChristianityPoliticsArtPolitical science

Abstract

fetched live from OpenAlex

This essay uses the method of historiographical criticism to reexamine the frameworks used to research the relationship between apocalypse and violence. Its focus is the presentation of Anabaptist rule at Münster in the mid-1530s. New religions scholars and historians alike often cite this case as evidence of how millenarian prophecy can lead believers to violent actions. The essay demonstrates that this view is based largely on anti-Anabaptist and anti-sectarian propaganda that has its origins in the medieval and early modern eras. Partly because of the popularity of Norman Cohn’s The Pursuit of the Millennium (1957), which translated older polemical interpretations of religious outsiders into a modern scholarly form, hostile assumptions about Anabaptist violence have found their way into academic debates today. The essay shows that the distorting effects of these kinds of assumptions are not limited at all to the case of Anabaptist Münster, but in fact shape unhelpfully the way scholars conceptualize more generally the relationship between dissenting “sects” and established “churches.” “Thinking outside the cages” of polemically derived conceptualizations can form the basis for cross-disciplinary research on believers under siege.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.021

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 studies0.0060.038
Scholarly communication0.0070.011
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.059
GPT teacher head0.376
Teacher spread0.316 · 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
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

Citations5
Published2018
Admission routes1
Has abstractyes

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