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Record W4297883588 · doi:10.1017/9781009243490.007

Tudor Plutarch

2022· book-chapter· hu· W4297883588 on OpenAlexaff
Rebecca Kingston

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languagehu
FieldArts and Humanities
TopicJoseph Conrad and Literature
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVernacularRealmPoliticsLiteratureUtopiaHistoryPhilosophyTone (literature)ClassicsArtArt historyLawPolitical science

Abstract

fetched live from OpenAlex

Chapter 5 explores the distinct dynamics of Plutarch reception in England prior to the famous 1579–1603 translations of Thomas North (1535–1604). In England at this time, Plutarch’s work was read largely through a Ciceronian lens. I reflect on the vernacular translations of Plutarch’s moral essays by Thomas Wyatt (1503–1542), Thomas Elyot (1490–1546), Thomas Blundeville (1522–1606), Richard Taverner and Queen Elizabeth I (1533–1603) as well as explore the place of Plutarch in Thomas More’s Utopia (1516). I argue that prior to the translations of Thomas North, Plutarch was read predominantly in England as a thinker whose political insights were secondary to his moral ones. While the increasing precariousness of the English realm into the latter sixteenth century changed the tone of political thought, the English never read their Plutarch in the vernacular with the same attention to the nature of public office and the public realm in the way prevalent in France earlier in the century.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0550.013

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 head0.027
GPT teacher head0.187
Teacher spread0.159 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicJoseph Conrad and LiteratureFrench-language works237,207