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Record W4283385992 · doi:10.3390/rel13070574

Absent in Body, Present in Spirit: Apostolic Iconography in Greek Byzantine New Testament Manuscripts

2022· article· en· W4283385992 on OpenAlexaff
Isaac T. Soon

Bibliographic record

VenueReligions · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsCrandall University
Fundersnot available
KeywordsApostlesNew TestamentIconographyIdentity (music)LiteratureArtByzantine architectureOld TestamentPhilosophyClassicsArt historyAesthetics

Abstract

fetched live from OpenAlex

This article analyzes the phenomena that arise when the images of New Testament authors are placed before, alongside, and within the titles and incipits of New Testament texts in ancient manuscripts. Such images facilitate encounters with “specters” of the authors, invoking their bodily presence in the absence of their physical body. They are encodings of collective memory but also participants in perpetuating and sometimes modifying the physical appearance of apostolic figures. On occasion, the blending of textual incipits with apostolic images sublimate authorial identity and textual identity; the bodies of apostles become frames through which to view their written works. Although they are paratexts, apostolic icons can rearrange and aggregate other paratextual features including titles and even Euthaliana. Images of the apostles further interact with anonymous features of NT manuscripts, such as Euthaliana, providing authorization for works without ascription in the manuscripts themselves. Images of the apostles in NT manuscripts are therefore more than decoration or pious creativity. They are loci of presence, identity, memory, and authority.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.228
Teacher spread0.195 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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