“The Wonders of Medicine in Literary Education”: Teaching Eighteenth-Century Hysteria
Bibliographic record
Abstract
The study of medical discourse and, more specifically, the literature of eighteenth-century hysteria has the unique ability to produce more thoughtful students of literature. The growing legitimacy of literature as a pedagogical tool in medical schools has broadened the field of literary studies, but the field of literature and medicine also has the potential to affect positive change within the English department. For students of English, to study the evolution of hysteria in the eighteenth century is to witness a steady increase in complexity, a kind of coming into ambiguity. Students become more skilled readers as they recognize hysteria not only as a ver itable medical ailment, but also as an elusive construction that laypeople, men and women of letters, and medical professionals alike agreed was difficult, if not impossible, to define. Students learn to understand more deeply the value of metaphor, to examine the literary qualities of medical discourse, and to interrogate the physician-patient hierarchy; they move towards becoming more sophisticated and critical thinkers.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".