Building Opposition at the Early Tudor Tower of London: Thomas More’s <i>Dialogue of Comfort</i>
Bibliographic record
Abstract
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.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".