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Record W4206294659 · doi:10.1353/phx.2014.0014

Exemplary Traits: Reading Characterization in Roman Poetry by J. Mira Seo

2014· article· en· W4206294659 on OpenAlexvenueno aff
James J. O’Hara

Bibliographic record

VenuePhoenix · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryReading (process)MythologyVariety (cybernetics)ElegyLiteratureOrder (exchange)AsideHistoryArtAestheticsArt historyPhilosophyComputer scienceLinguisticsArtificial intelligence

Abstract

fetched live from OpenAlex

366 PHOENIX theoretical than the rest, but it looks at a variety of authors and genres to show how culture is, at heart, formalized memory. The analyses he offers of lyric, pastoral, and elegy all focus somehow on the aestheticization of the past, a hazy styling which at once obscures real history and keeps it alive in a formalized way. Meliboeus and Tityrus reenact the fall of the republic and the promise of the new age, respectively; Horace remembers and forgets the shield he dropped at Philippi by reformulating it as myth; Propertius’ obsession with Etruscan dust and bones joins life and death, and, moreover, constitutes life in death. Though this essay is dense and difficult, it is also a productive new line of inquiry. One example: would Schwindt’s model of culture as formalized memory still be valid in more “objective” genres, that is, those not characterized by a first-person subject, speaking alone or in dialogue? This volume is richly rewarding. Given its coherence and quality, it deserves a full reading from cover to cover rather than a piecemeal approach. It is even, dare I say, well worth the steep purchase price. Taken together, the papers raise enough questions that another conference is in order. There is much work for our field to do in the meantime. University of Kansas Tara S. Welch Exemplary Traits: Reading Characterization in Roman Poetry. By J. Mira Seo. New York: Oxford University Press. 2013. Pp. xi, 220. This revised Princeton dissertation opportunely and successfully takes advantage of recent advances in scholarship in several areas: intertextuality, or the ways in which each new text depends upon the reader’s knowledge that it is built from pieces of earlier texts (e.g., the work of Stephen Hinds et al.); exemplarity, or the “peculiarly Roman emphasis on model and emulation in ethics and poetics” (1, with special attention to the work of Matthew Roller); the study of how the definition of character in both Greek and Roman literature is different from that of modern literature and drama (e.g., the work of Christopher Gill); and a welcome focus on readers and reading in almost all modern work on Latin poetry.1 After an Introduction, five chapters treat Aeneas and Paris in Vergil’s Aeneid, Cato in Lucan’s Bellum Civile, Seneca’s Oedipus, and, in separate chapters, both the young warrior Parthenopaeus and the prophet Amphiaraus in Statius’ Thebaid. After a brief conclusion, an appendix discusses Hippolytus in Seneca’s Phaedra. No chapter is devoted to Ovid, but Ovid bulks large in the Introduction and in several chapters, both as a model for poets and as a touchstone for Seo. The book will be useful both for its individual readings, and because it offers a method that could profitably be used on many authors, or even other parts of the works Seo treats. Seo begins by explaining every word of her title. “Exemplary” will now be obvious, but “Traits,” “a term associated with genetics,” suggests that “literary characters may also demonstrate [their literary] heredity and genealogical affiliation through allusion” (1). “Reading Character” is meant to suggest first that “the composition of character” should be seen “as a literary technique to be interpreted and analyzed (through ‘Reading’) 1 S. Hinds, Allusion and Intertext: Dynamics of Appropriation in Roman Poetry: Roman Literature and Its Contexts (Cambridge 1998); C. Gill, The Structured Self in Hellenistic and Roman Thought (Oxford 2006); M. Roller, “Exemplarity in Roman Culture: The Cases of Horatius Cocles and Cloelia,” CP 99 (2004) 1–56. BOOK REVIEWS/COMPTES RENDUS 367 in its own right” (1, italics original). And “Roman Poetry” is meant first to flag the book’s special concern with “how Roman-ness is defined by this tradition so influenced by Greek models” and also to ask how character in “Poetry” is like and unlike that of “historiography, rhetoric, or philosophy” (2); Seo draws widely and productively from both prose texts and scholarship on prose authors. Her Introduction argues for “preconceived roles for author and audience in Roman literary production” (7) that in part explain why Roman characters seem “flat” to modern readers. Poets were expected to “take into account the expectations established by...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.280
Teacher spread0.264 · 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.

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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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