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Record W1981875175 · doi:10.1093/notesj/gjl002

Latin Sources of the Old English Phoenix

2006· article· en· W1981875175 on OpenAlexaff
E. K. C. Gorst

Bibliographic record

VenueNotes and Queries · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhoenixPoetryParallelsLiteratureInterpretation (philosophy)Old EnglishArtReading (process)PhilosophyHistoryClassicsLinguisticsArchaeologyEngineering

Abstract

fetched live from OpenAlex

SINCE J. J. Conybeare translation of Lactantius’ 170-line Carmen de aue phoenice, no Phoenix critic has failed to note the debt the Anglo-Saxon poet owes to that Latin text.1 Compelling evidence now suggests that the Phoenix-poet also used elements from three other Latin poems: Blossius Aemilus Dracontius’ De laudibus dei; Alcimus Ecdicius Avitus’ De origine mundi; and Flauius Cresconius Corippus’ In laudem Iustini Augusti minoris. Dracontius’ and Avitus’ poems have clear connections with the opening of The Phoenix because of their references to Eden's flowers, fragrance, and ever-hanging fruit. Avitus’ description of Eden as closed to sinners also prompts a reading of lines 3b–6 that differs from Alfred Bammesberger's recent interpretation.2 As well, Corippus’ description of the crowning of Justin II has suggestive parallels with the Anglo-Saxon poem. These textual overlaps suggest that the Phoenix-poet does not simply expand the Carmen de aue phoenice; he carefully selects, translates, and integrates lines from a number of Christian Latin poems.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.002

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 head0.011
GPT teacher head0.176
Teacher spread0.165 · 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
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

Citations19
Published2006
Admission routes1
Has abstractyes

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