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Record W2128014359 · doi:10.1017/s001781601300014x

Images of Empire, Imaging the Self: The Significance of the Imperial Statue Episode in the<i>Acts of Peter</i>

2013· article· en· W2128014359 on OpenAlexaff
Callie Callon

Bibliographic record

VenueHarvard Theological Review · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStatueApostleApostlesPhilosophyArtLegitimacyLiteratureHistoryArt historyTheologyLawPolitical science

Abstract

fetched live from OpenAlex

TheActs of Peter(hereafterActs Pet.) contains an account of the destruction of an imperial statue by an exorcised demon, a statue that is subsequently miraculously restored by its owner Marcellus with the help of prayer and the apostle Peter. Although scholars seldom examine this episode in significant detail, when they have addressed it, they have for the most part agreed that it is an indication of the anti-imperial stance of the text generally and an attack on the legitimacy of the imperial cult more specifically. This is perhaps not wholly surprising, given that the majority of the other apocryphal Acts of the apostles (hereafter AAA) do seem to exhibit this vein of hostility, and this corpus is often interpreted as something of a homogeneous whole.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.024
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.253
Teacher spread0.230 · 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
GenreOther

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

Citations3
Published2013
Admission routes1
Has abstractyes

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