Bodies Unseen: The Early Modern Anatomical Theatre and the Danse Macabre of Theatrical “Looking"
Bibliographic record
Abstract
The struggle to “adapt” to the presence of the corpse serves as the central turning point for this investigation into the theatrical encounters with the corpse in the early modern anatomy theatre. Beginning with novelist W.G. Sebald’s claim, in The Rings of Saturn, that the art of anatomy was a way of “making the reprobate body invisible,” Alvarez queries how the corpse as the central “gure of this theatrical space challenges conventional modes of theatrical looking and how the particular viewing procedures invited by the anatomy theatre, as a theatrical space, effectively make the body “unseen.” Using Restoration diarist Samuel Pepys’ documented encounter with a corpse and the early phenomenologist Aurel Kolnai’s writings On Disgust, Alvarez attempts to account for the “perceptual and interpretive black hole” that the corpse presents in this schema. The corpse’s “radical actuality” and, paradoxically, its “surplus of life” act as a cipher that cuts through the virtual space constructed by the anatomical demonstration, undermining the gravitas of the scientific gaze that has acquired its weight in contradistinction to the theatricality of the event. But the corpse’s “radical actuality” and its “surplus of life” introduces a danse macabre of theatrical looking that moves between absorption and repulsion, reversing the otherwise consumptive gaze of the onlooker.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.045 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".