The "sweet-gorged Maw": Feeding and Physic in the Elizabethan Dramatic Life of Sir Thomas More
Bibliographic record
Abstract
La description que fait Anthony Munday de Sir Thomas More dans la pièce de théâtre du même nom est cohérente avec l’approche anti-catholique de Munday observable dans ses autres écrits, ainsi qu’avec son caractère fuyant. À travers toute cette pièce, des préoccupations au sujet de la sécurité nationale et du comportement des étrangers sont exprimés en termes de nourriture et d’alimentation, lesquelles marquent également la représentation de More. Alors que les biographes du martyr Thomas More le dépeignent comme un catholique modéré, voire ascétique, la pièce de Munday révèle plutôt un Thomas More davantage enclin aux plaisirs culinaires, avec le résultat qu’il y est présenté comme un hypocrite.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".