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Record W3000533481 · doi:10.3138/tjt.2019-0058

The Eucharist as a Hermeneutical Lens in the Preaching of Peter Chrysologus

2019· article· en· W3000533481 on OpenAlexvenueno aff
Kenneth J. Howell

Bibliographic record

VenueToronto Journal of Theology · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsEucharistLiturgyFaithGospelTheologyApostlePhilosophyDoctrineRavennaProclamationHistoryLawAncient history

Abstract

fetched live from OpenAlex

[Figure: see text] Peter Chrysologus, the bishop of Ravenna in the first half of the fifth century, tended to read the texts of the gospels through a eucharistic lens. Like other patristic writers, Peter viewed the same realities of faith operating in both the gospel accounts and in the liturgy of the Church. This article explores that relationship under three aspects evident in his homilies, especially in Sermons 33–36 about the woman with the twelve-year hemorrhage (Mark 5:21–43). Peter views the pericope under the three continuities of desperation, presence, and faith. Peter sees the Church’s faith, like the woman’s, as arising out of desperation or the hopelessness of finding a cure for its wounds. Yet, the same presence tapped by the woman who touched the hem of Jesus’s garment can be touched in the Eucharist because the same presence that was present in the first century is operating in the liturgy of the fifth century. What is not so evident is that Peter’s audience will exercise the same faith as this desperate woman. In his highest expectations, Peter hopes that his own congregation will touch the Eucharist and so be healed like the hemorrhaging woman. While Peter never formulated a doctrine of the Eucharist per se, his proclamation assumes a profound continuity between the life of Christ and the sacramental life of the Church.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.042
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0020.007
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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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