<scp>Asha Hornsby</scp>, <i>Vivisection and Late-Victorian Literary Culture</i>
Bibliographic record
Abstract
As someone who regularly teaches Victorian anti-vivisection texts, I was delighted to review Asha Hornsby’s wide-ranging analysis of anti-vivisection discourse, and I was even more pleased when I realized how important her insightful study is not just for that specific field of Victorian texts, but also for Victorian literature as a whole at the turn of the century. Hornsby’s claim is that the language, tropes, and reading techniques of both the vivisection and anti-vivisection movements influenced literary production and criticism quite broadly, a convincing claim given Hornsby’s thorough discussion of texts both well-known and obscure and her persuasive close readings throughout. Many discussions of Victorian vivisection and anti-vivisection texts focus primarily on their cultural aspects, whether from an animal studies, or from a feminist viewpoint, or both (see Sue Hamilton’s excellent work on the subject, or Cora Lansbury’s influential The Old Brown Dog: Women, Workers, and Vivisection in Edwardian England [2012]). Hornsby’s monograph does indeed attend to the political/cultural aspects of vivisection, but those are not the primary focus; instead, it is the literary/discursive styles that emerged from the vivisection debate that Hornsby primarily addresses. As she states, ‘‘vivisection’ is best understood as at once a particular material practice but also a broader set of metaphorical meanings which were produced, shaped, and contested in a wide variety of texts and contexts’ (p. 282). To support this claim, Hornsby focuses on the discourse found within anti-vivisection publications like the Zoophilist, including poetry such as Christina Rossetti’s ‘A Word for the Dumb’, images of vivisection, and stories that sought to identify the correct audience with titles like ‘A Nursery Rhyme for Grown-up Children (It Might Frighten the Little Ones)’; vivisection and pro-vivisection texts from Claude Bernard, Élie de Cyon, and satirical publications like Punch; and well-known novels like H.G. Wells’s The Island of Doctor Moreau and Wilkie Collins’s Heart and Science, alongside lesser-known and delightfully obscure works such as Walter Hadwen’s Dr. Deguerre, Edward Berdoe’s Dying Scientifically, a Key to St. Bernard’s, and the anonymously published A Monomaniac of Love: A Study in the Pathology of Character.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".