Strindberg as Vivisector: Physiology, Pathology, and Anti-Mimesis in <i>The Father</i> and <i>Miss Julie</i>
Bibliographic record
Abstract
This essay explores how Swedish dramatist August Strindberg employed the idea of vivisection – dissection of live animals and, in rare cases, humans – as a trope within The Father and Miss Julie. Throughout his early career, Strindberg played the role of vivisector in order to associate himself with ongoing experimentation in modern medical science as practised by such pioneering scientists as Théodule Ribot, Claude Bernard, and Henry Maudsley. In his effort to vivisect his characters, Strindberg sought to pierce through external surfaces into uncharted physiological and metaphysical terrains that would reveal individual pathologies. The act of opening up his dramatic subjects though theatrical strategies allowed him to engage a wider field of medical discourses for understanding the somatic body. Thus, through his dramatic vivisections, Strindberg moved beyond the observational and objective strategies of naturalism to create instead what he famously termed the art of “greater naturalism,” a dramatic technique that strove to see beyond the everyday. In countering his naturalist colleagues in the theatre, such as Émile Zola and André Antoine, Strindberg effectively used vivisection to question observational technique and, in so doing, to destabilize the very foundation of theatrical representation: mimesis.
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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 | 0.000 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".