Translation and Genettean Hypertextuality: Catherine Magdalen Evelyn, Catherine of Bologna, and English Franciscan Textual Production, 1618–40
Bibliographic record
Abstract
Drawing on the ideas of Gérard Genette, this article argues for the value of reading translations as “hypertexts,” or as works grafted onto earlier texts (“hypotexts”), on the basis of the intriguing case study of The Admirable Life of the Holy Virgin S. Catharine of Bologna (1621), translated by Catherine Magdalen Evelyn of the Gravelines Poor Clares. Little-known today despite Evelyn’s importance as the most prolific female translator of the early Stuart period, this publication sublimates the voice of the translator through its laconic paratextual materials and its misattribution of Evelyn’s work to another nun. In spite of this carefully engineered authorial opacity, the stakes of Evelyn’s translation become clearer when it is read as part of a hypertextual system of Franciscan writings published in English, French, Italian, and Portuguese over the course of the sixteenth and seventeenth centuries. An analysis of how her text is grafted onto this series of hypotexts through bibliography, intertextuality, and translation results in a detailed, albeit speculative, account of Evelyn’s motivations for reading, translating, and publishing The Admirable Life. This seemingly modest publication is thus revealed as a rich hypertext that participated in a wider European project to chronicle the history of the Franciscan order. A concluding discussion of hypertextuality in early modern England briefly gestures more broadly toward the relevance of this method for studies of Renaissance literature.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".