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Record W3117344349 · doi:10.3167/arrs.2020.110105

Weapons for Witnessing

2020· article· en· W3117344349 on OpenAlex
Kyle Byron

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

VenueReligion and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRhythmNarrativeExpansiveSermonIdeologyEvangelismDoctrineSociologyAestheticsHistoryLiteratureArtLawPolitical sciencePoliticsArchaeology

Abstract

fetched live from OpenAlex

Drawing on observations of the performances of street preachers in the United States—as well as the texts that inform them—this article explores the concept of rhythm within and beyond the anthropology of religion. More specifically, it develops an expansive concept of rhythm as multiple and interactive, focusing not on a singular rhythm, but on the rhythmic translations that shape the practice of street preaching. First, I argue that the material rhythms of urban infrastructure constrain the narrative rhythms of the street preacher’s sermon, producing a distinct homiletics. I then suggest that the ideological rhythms of war animate the narrative rhythms of the street preacher’s sermon, linking military strategies with tactics of evangelism. Examining the material, narrative, and ideological rhythms of streets, sermons, and military doctrine, this article advances an analytic framework whereby the intersecting rhythmic tensions that shape performance can be registered.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.052
GPT teacher head0.340
Teacher spread0.288 · 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