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Record W4400168982 · doi:10.37490/s241436770030430-3

The fight against Jewish proselytism under Theodosius the Great by the example of the sermons of John Chrysostom and Egyptian papyri

2024· article· en· W4400168982 on OpenAlexfundno aff
Alexey Filatov

Bibliographic record

VenueMetamorphoses of history · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
FundersUniversity of ManchesterMcMaster UniversityBaylor UniversityHarvard UniversityPrinceton UniversityAmerican Philological AssociationIsrael Academy of Sciences and HumanitiesUniversity of CambridgeYale University
KeywordsJudaismJohn ChrysostomAncient historyHistoryChemistryPhilosophyClassicsTheology

Abstract

fetched live from OpenAlex

The article is dedicated to the research of the new stage in history of Jewish-Christian relations in Roman Empire started in the second half of the 4th century. In this period, the influence of Jewish religious tradition on mass consciousness of Christians in the Middle East intensified again. The process was reflected in John Chrysostoms’ sermons «Agains the Jews» as well as in works of Church historians. However, besides literary sources, the evidences of popularity of Judaism among Gentiles and Christians in the age of Late Antiquity can be found in vast papyri material uncovered in Egypt. The current work traces the ties between these different types of historical sources, which permit to shed a new light on the topic of proselytism and Jewish-Christian conflicts.

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)0.001
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.008
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.248
Teacher spread0.218 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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