Bibliographic record
Abstract
Illustrations Series Preface Introduction: Enlightenment Bodies Carole Reeves, University College London, UK 1 The Body in Birth and Death Lisa Forman Cody, Claremont McKenna College, USA 2 Pliable Bodies: The Moral Biology of Health and Disease Kevin Siena, Trent University, Canada 3 Sexual Knowledge: Panspermist Jokes, Reproductive Technologies, and Virgin Births George Rousseau, Oxford University, UK 4 Medical Knowledge: The Adventures of Mr. Machine, with Morals Jessica Riskin, Stanford University, USA 5 Popular Beliefs about the Dead Body Ruth Richardson, University of Herfordshire, UK 6 The Body Beautiful David M. Turner, Swansea University, UK 7 Marked Bodies and Social Meanings Laura Gowing, King's College London, UK 8 The Puzzle of the Pox-Marked Body Susan Staves, Brandeis University, USA 9 Cultural Representations: Rogue Literature and the Reality of the Begging Body Tim Hitchcock, University of Hertfordshire, UK 10 Self and Society: Attitudes toward Incest in Popular Ballads Ruth Perry, Massachusetts Institute of Technology, 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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".