Bibliographic record
Abstract
Introduction: Entering the Sensory Worlds of the Renaissance Herman Roodenburg (Free University of Amsterdam, The Netherlands) 1. The Social Life of the Senses: Architecture, Food and Manners Niall Atkinson (University of Chicago, USA) 2. Urban Sensations: Attractive and Repulsive Peter Burke (University of Cambridge, UK) 3. The Senses in the Marketplace: Sensory Knowledge in a Material World Evelyn Welch (Victoria & Albert Museum, UK) 4. The Senses in Religion: Towards the Reformation of the Senses Matthew Milner (McGill University, Canada) 5. The Senses in Philosophy and Science: From the Nobility of Sight to the Materialism of Touch Danijela Kambaskovic (University of Western Australia) and Charles T. Wolfe (Ghent University, Belgium) 6. Medicine and the Senses: Physicians, Sensation, and the Soul Stephen Pender (University of Windsor, Canada) 7. The Senses in Literature: Renaissance Poetry and the Paradox of Perception Holly Dugan (George Washington University, USA) 8. Art and the Senses: Representation and Reception of Renaissance Sensations Francois Quiviger (Warburg Institute, UK) 9 Sensory Media: The Circular Links between Orality and Writing Federico Barbierato (University of Verona, Italy) Notes Bibliography Notes on 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 | 0.001 | 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 | 0.005 | 0.011 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.006 |
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".