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Record W2594724409 · doi:10.33137/rr.v38i1.22781

Building Opposition at the Early Tudor Tower of London: Thomas More’s <i>Dialogue of Comfort</i>

2015· article· en· W2594724409 on OpenAlexvenueno aff
Kristen Deiter

Bibliographic record

VenueRenaissance and Reformation · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesIdeologyArtOpposition (politics)Art historyTowerIconographySymbol (formal)PoliticsPhilosophyHistoryLawArchaeologyPolitical science

Abstract

fetched live from OpenAlex

Medieval and early modern English monarchs constructed the Tower of London’s iconography to symbolize royal power, creating a self-promoting royal ideology of the Tower. However, the Tower’s cultural significance turned sharply when Thomas More wrote A Dialogue of Comfort against Tribulation (1534) as a Tower prisoner, laying the foundation for an early modern tradition of literary and cultural representations of the Tower as oppositional to the Crown. In the Dialogue, through four progressive transgressions against Henry VIII, More defies the royal ideology of the Tower and refashions the Tower itself as a symbol of resistance to royal tyranny. Les monarques anglais du Moyen Âge et de la Renaissance ont représenté la Tour de Londres comme un symbole du pouvoir royal, mettant ainsi en place une idéologie de la Tour promouvant la royauté. Toutefois, la signification culturelle de la Tour a subi un retournement rapide lorsque Thomas More a écrit A Dialogue of Comfort against Tribulation (1534), alors prisonnier à la Tour ; l’ouvrage a en effet posé les fondations d’une tradition littéraire et culturelle présentant la Tour comme un lieu d’opposition à la couronne. Dans le Dialogue, à travers quatre étapes progressives de contestations à l’égard d’Henri VIII, More remet en question l’idéologie royale de la Tour, et la redéfinit comme un symbole de résistance à la tyrannie royale.

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 score0.745
Threshold uncertainty score0.273

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 head0.026
GPT teacher head0.231
Teacher spread0.205 · 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".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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