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Record W4379383672 · doi:10.1515/zac-2023-0007

Plato’s <b> <i>Phaedrus</i> </b> and <b> <i>Symposium</i> </b> in the <b> <i>Pseudo-Clementine Homilies</i> </b>

2023· article· en· W4379383672 on OpenAlexfundno aff
Benjamin M. J. De Vos

Bibliographic record

VenueZeitschrift für Antikes Christentum / Journal of Ancient Christianity · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAugustinian Studies and Theology
Canadian institutionsnot available
FundersUniversiteit GentUniversität WienUniversité de LausanneSwansea UniversityUniversity of Ottawa
KeywordsAntiqueClementine (nuclear reactor)PhilosophyPaideiaNarrativeLiteratureRhetoricValue (mathematics)Late AntiquityClassicsArtHistoryTheologyAncient historyGeography

Abstract

fetched live from OpenAlex

Abstract The presence of Plato and Platonic philosophy in the late antique Christian novel, the Pseudo-Clementine Homilies , has been underexamined. The present article takes a twofold approach: first, it discusses Platonic references and allusions in the disputes between Appion the grammarian and Clement, a follower of the apostle Peter ( Homiliae Clementinae 4–6), and links them to the rest of the Homilistic narrative. Plato’s dialogues of the Symposium and, in particular, the Phaedrus turn out to be insightful philosophical and literary frameworks by means of which the Homilist reflects on the value of eros , paideia , rhetoric and philosophy, the value of written discourse, and truth. Secondly, this article also compares the Pseudo-Clementine Homilies with (other) novels and narratives from the Second Sophistic that intertextually engage with similar Platonic motifs and passages. My analysis reveals how the Homilist, as a Christian novelist with strong philosophical (and one might say Sophistic) interests, is a remarkable member of the late antique, cultural dialogue, in which the reception of Plato’s dialogues took place.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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.

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
Published2023
Admission routes1
Has abstractyes

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