Bibliographic record
Abstract
This thesis investigates the Hellenism of the English poet John Milton from his student writings at Cambridge through to Paradise Lost. It explores Milton’s engagement with classical, Hellenistic, Byzantine, and Early Modern Greek texts and it considers Milton’s reading of Greek scholarship and interactions with Greek scholars and Hellenic scholarship. Chapter 1, ‘Milton’s Cambridge Greek’, consists of two sections: ‘Protestant Hellenism at Milton’s Cambridge: A Case Study of James Duport’s Greek Paraphrase of the Book of Job, Threnothriambos (1637)’ and ‘Greek and the “Lady of Christ’s College”: Latin–Greek Code-Switching in Milton ‘Prolusion VI’’. Chapter 2, ‘Milton Among the Hellenists in England and Italy’ considers the role that Greek played in Milton’s correspondence and poetic exchanges with Charles Diodati and Lucas Holstenius; it also considers the nature of Milton’s own Hellenic research at libraries in Rome and Florence during his travels in Italy from 1638–39. Chapter 3 considers the political and polemical roles that Greek texts played for Milton from the mid-1640s to 1660 and consists of three sections: ‘Marshall’s Ignorant Hand: Milton’s Greek Epigram and the 1645 Poems Frontispiece and the First Edition of Langbaine’s Longinus (1636)’; ‘O Soul of Sir John Cheek: Milton and the Legacy of Sixteenth-Century Greek Humanism’; and ‘John Milton, Leonard Philaras, and Early Modern Advocacy for Greece’s Liberation from the Ottoman Empire’. The final, fourth chapter explores the influence of Greek texts—ranging from the Homeric epics and the fragmentary Epic Cycle through to Byzantine and Early Modern Greek texts—upon Milton’s design of Books 1 and 2 of Paradise Lost.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".