Miserere Mei: The Penitential Psalms in Late Medieval and Early Modern England
Bibliographic record
Abstract
In Miserere Mei, Clare Costley King'oo examines the critical importance of the Penitential Psalms in England between the end of the fourteenth and the beginning of the seventeenth century. During this period, the Penitential Psalms inspired an enormous amount of creative and intellectual work: in addition to being copied and illustrated in Books of Hours and other prayer books, they were expounded in commentaries, imitated in vernacular translations and paraphrases, rendered into lyric poetry, and even modified for singing. Miserere explores these numerous transformations in materiality and genre. Combining the resources of close literary analysis with those of the history of the book, it reveals not only that the Penitential Psalms lay at the heart of Reformation-age debates over the nature of repentance, but also, and more significantly, that they constituted a site of theological, political, artistic, and poetic engagementacross the many polarities that are often said to separate late medieval from early modern culture.Miserere features twenty-five illustrations and provides new analyses of works based on the Penitential Psalms by several key writers of the time, including Richard Maidstone, Thomas Brampton, John Fisher, Martin Luther, Sir Thomas Wyatt, George Gascoigne, Sir John Harington, and Richard Verstegan. It will be of value to anyone interested in the interpretation, adaptation, and appropriation of biblical literature; the development of religious plurality in the West; the emergence of modernity; and the periodization of Western culture. Students and scholars in the fields of literature, religion, history, art history, and the history of material texts will find Miserere Mei particularly instructive and compelling.Seldom have I read a first book of such subtlety and sustained by such learning, particularly welcome for the way it so easily and gracefully crosses the artificial barriers we raise between the Middle Ages and the Renaissance. This is an original and often touching study of biblical materials that have seen a surge of interest. Those interested in the Psalms, in art history, in David, in translation, to say nothing of early modern sexuality, should rush to read it. Anne Lake Prescott, Barnard College and Columbia University
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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 | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".