Bibliographic record
Abstract
Introduction: Make it New! - Reforming the Senses David Howes (Concordia University, Canada) 1. The Social Life of the Senses: Ordering and Disordering the Modern Sensorium Tim Edensor (Manchester Metropolitan University, UK) 2. Urban Sensations: A Retrospective of Multisensory Drift Alex Rhys-Taylor (Goldsmiths University, UK) 3. The Senses in the Marketplace: Commercial Aesthetics for a Suburban Age Adam Mack (School of the Art Institute of Chicago, USA) 4. The Senses in Religion: Pluralism, Technology and Change Isaac A. Weiner (Ohio State University, USA) 5. The Senses in Philosophy and Science: From Sensation to Computation Mathew Nudds (University of Warwick, UK) 6. Medicine and the Senses: Bodies, Technologies and the Empowerment of the Patient Anamaria Iosif Ross (independent scholar) 7. The Senses in Literature: From the Modernist Shock of Sensation to Postcolonial and Virtual Voices Ralf Hertel (University of Hamburg, Germany) 8. Art and the Senses: The Avant-Garde Challenge to the Visual Arts Hannah Higgins (University of Illinois Chicago, USA) 9. Sensory Media: Virtual Worlds and the Training of Perception Michael Bull (University of Sussex, UK) 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.040 | 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".