Bibliographic record
Abstract
Illustrations Series Preface Introduction William Bynum, University College London, UK 1 Birth and Death in Early Modern Europe Lianne McTavish, University of Alberta, Canada 2 Why Me? Why Now? How? The Body in Health and Disease Margaret Healy, University of Sussex, UK 3 Sexuality: Of Man, Woman, and Beastly Business Katherine Crawford, Vanderbilt University, USA 4 The Body in /as Text: Medical Knowledge and Technologies in the Renaissance Susan Broomhall, University of Western Australia, Australia 5 The Common Body: Renaissance Popular Beliefs Karen Raber, University of Mississippi, USA 6 Beauty and Concepts of the Ideal Mary Rogers, independent scholar 7 The Marked Body as Otherness in Renaissance Italian Culture Patrizia Bettella, University of Alberta, Canada 8 The Marked Body: The Witches, Lady Macbeth, and the Relics Diane Purkiss, University of Oxford, UK 9 Fashioning Civil Bodies and Others: Cultural Representations Margaret Healy, University of Sussex, UK 10 Renaissance Selves, Renaissance Bodies Margaret L. King, City University of New York, USA Notes Bibliography Contributors Index
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.010 |
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".