Bibliographic record
Abstract
Illustrations Series Preface Introduction: Bodies in History - The Task of the Historian Ivan Crozier, University of Edinburgh, UK 1 Death and Birth Malcolm Nicolson, University of Glasgow, UK 2 Performing the Western Sexual Body after 1920 Ivan Crozier, University of Edinburgh, UK 3 The Technological Fix and the Modern Body: Surgery as a Paradigmatic Case Thomas Schlich, McGill University, Canada 4 Diseased Bodies in the Modern World Anna Crozier, University of Exeter, UK 5 Popular Beliefs Dan O'Connor, Johns Hopkins University, USA 6 Beauty and Concepts of the Ideal Christopher E. Forth, University of Kansas, USA 7 Re-markable Bodies Anna Cole, University of London, UK and Anna Haebich, Griffith University, Australia 8 Body Marks, Bestial/Divine/Natural: An Essay into the Social and Biotechnological Imaginaries, 1920-2005 and Bodies to Come Michael M. J. Fischer, Massachusetts Institute of Technology, USA 9 Dissolution, Reconstruction, and Reaction in Visual Art, 1920 to the Present Ana Carden-Coyne, University of Manchester, UK 10 The History of the Body: Self and Society, 1920-2000 D. M. Vyleta, Independent scholar, USA Notes Bibliography Contributors Index
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.065 | 0.011 |
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".