Reading Virgil and His Texts: Studies in Intertextuality
Bibliographic record
Abstract
There has long been vital interest in the ways that texts affect each other--through translation, imitation, parody, and other forms of emulation and subversion. Throughout the last two millennia, the Virgilian text has created its own intertextual heritage, persisting in the works of Eliot, Frost, Lowell, and Heaney. Richard F. Thomas's new volume demonstrates that such control and manipulation of the inherited tradition is to be found with great intensity in the very author who, in turn, created his own complex tradition.The articles and notes included in this volume have been selected for their diachronic aspect in addition to the synchronic status they had in their original context. Dealing with the intricate ways in which Virgil, and in the introductory chapter his predecessor Catullus, manipulated and appropriated their inherited Greek and Roman literary tradition, this book presents a coherent profile, through these detailed studies, of the mechanics of one of the most dynamic periods in the literary history of any culture.Richard Thomas--one of the most important voices in Latin literary studies today--shows little anxiety about objections to authorial intentionality. Throughout there is a working assumption that intertextual connections can be established and, further, that functions and purposes, even intended ones, may be inferred from those connections.This book will be of interest to scholars and students of Greek and Latin literature but will also be of great value to students of medieval, Renaissance, and early modern vernacular literatures, most of whose poets see themselves as closely connected to Virgil.Richard F. Thomas is Professor of Greek and Latin, Harvard University.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.010 | 0.036 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".