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Record W7132960878

The Latin Past and the Poetry of Catullus

2021· dissertation· W7132960878 on OpenAlexaff
Jesse Michael Hill

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoetryScholarshipLatin poetryPeriod (music)EPICOrder (exchange)Identity (music)
DOInot available

Abstract

fetched live from OpenAlex

This dissertation examines the relationship of the Latin poet Catullus to the preceding Latin poetic tradition, particularly to the pre-eminent figure of that tradition, pater Ennius. Classical scholarship has long thought the nature of this relationship settled: in a surge of revolutionary force (so goes the story), Catullus and his poetic peers (the “neoterics”) broke violently away from Ennius and the dominant Ennian tradition, turning instead to the recherché Greek poetry of the Hellenistic period for their inspiration. My study complicates this dominant narrative: Ennius, I argue, had a foundational, positive influence on Catullus; Catullan poetry was evolutionary, not revolutionary at Rome. Chapter 1 sets the stage by redefining neotericism: this was a broad poetic movement that included, not just Catullus and his friends (“the neoteric school”), but a majority of the Latin poets writing c. 90-40 BCE. Neotericism, moreover, was an evolutionary phenomenon, an elaboration of second-century Latin poetry. Chapters 2-4 attend to specific Catullan poems that engage closely and allusively with Ennius. Chapter 2 shows how, in poem 64, Catullus reinvents Roman epic on the model left to him by Ennius. Chapter 3 takes up poem 116, which I read as a programmatic statement of its author’s Ennian-Callimachean poetics. Chapter 4 turns to poems 1 and 68: here I demonstrate how Catullus draws on Ennius qua complex cultural authority in order to defend, question, and think through his own identity as a Transpadane-Roman.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
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 head0.023
GPT teacher head0.364
Teacher spread0.341 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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