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Record W4409775564 · doi:10.3390/rel16050544

The Origins of Christianity Between Orality, Writing, and Images: A Mediological Analysis

2025· article· en· W4409775564 on OpenAlexaboutno aff
Fabio Tarzia

Bibliographic record

VenueReligions · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Religious Studies of Rome
Canadian institutionsnot available
Fundersnot available
KeywordsOralityChristianityLiteratureHistoryPhilosophyArtReligious studiesSociologyLiteracy

Abstract

fetched live from OpenAlex

This article investigates the period of the origin of Christianity, namely that of the first century, the phase in which the emerging “Christianity” was being formed. It is a phase that has been much studied from many angles. The angle adopted in this article approaches the topic from a mediological framework. It relates to the Toronto School and the theses of Marshall McLuhan, for whom a medium is not only a communication channel but constructs the message and determines a way of reasoning. In this sense, the question arises as to how much, in the period of the birth of the new religion, the “media”, here understood as “environments”, had an influence: orality, writing, images, and spectacular performances cooperated in the construction of a multimedia religion that also drew from this richness a specific strength with which to impose itself over time. In particular, the following will be examined: the oral message of the “Rabbi” of Nazareth; the invention of the epistles of Paul of Tarsus; the conception of the Gospels as a written narration of the salvific event, capable of transforming the figure of Jesus into Christ; and the Apocalypse of John as the Christianization of a traditional genre.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score0.807

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 studies0.0010.001
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 head0.021
GPT teacher head0.268
Teacher spread0.247 · 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
Published2025
Admission routes1
Has abstractyes

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