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Thomas Wyatt

2023· reference-entry· en· W4366762258 on OpenAlexvenueno aff
Jason L. Powell

Bibliographic record

VenueRenaissance and Reformation · 2023
Typereference-entry
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImprisonmentClassicsHistoryIrishSonnetPenitentialServantLiteratureNarrativePoliticsArtPoetryPhilosophyLawLinguistics

Abstract

fetched live from OpenAlex

Thomas Wyatt (b. 1504?–d. 1542) almost certainly wrote the first sonnet in English. His Penitential Psalm paraphrase inaugurated a fashion for psalm translation, he introduced ottava rima to the English language, and he may have invented poulter’s measure—a form now often derided by critics, but deeply popular in Wyatt’s own century. His Quyete of Mynde (1529) became the first classical moral essay published in English. His diplomatic letters from the court of Charles V from 1537 to 1540 experiment with narrative form, and his letters of advice to his son reveal a deep interest in the Stoic thought of Seneca and Epictetus. Yet Wyatt was above all a royal servant—sometimes to the wrong royal, if he remained devoted, as Brigden 2012 (cited under Book-Length Studies) suggests, to Katherine of Aragon as late as 1529, well beyond the point of political expediency. Thomas Cromwell’s patronage appears to have restored him to Henry VIII’s favor, despite imprisonment with the accused lovers of Anne Boleyn in 1536 and another imprisonment in 1541. He died on 11 October 1542 after developing a fever while riding to greet the imperial ambassador at Falmouth. This article complements the excellent separate Oxford Bibliographies in British and Irish Literature article “Thomas Wyatt,” and should be consulted alongside of it where possible.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.172
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1720.070

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 head0.042
GPT teacher head0.242
Teacher spread0.199 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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