MEDICAL COSMOPOLITANISM:<i>MIDDLEMARCH</i>, CHOLERA, AND THE PATHOLOGIES OF ENGLISH MASCULINITY
Bibliographic record
Abstract
In 1831 the first epidemic ofwhat came to be known as “Asiatic cholera” bloomed in Britain. The disease, which in previous centuries had been known only in India, was to appear again in Britain in 1848–49, 1853–54, and 1866–67 as pandemics swept around the globe. But it was cholera's first arrival on the shores of Britain in 1831 that struck terror into British hearts. No one knew what disastrous consequences might ensue from this alien plague. Striking down perfectly healthy people, sometimes as they walked in the streets, it could kill within a few hours. So severe was the rapid dehydration caused by violent diarrhea and vomiting, and accompanied by hideously painful cramps, that victims rapidly became semi-comatose and turned blue-white. TheQuarterly Reviewcalled it “one of the most terrible pestilences which have ever desolated the earth,” and claimed that it had killed fifty million in fourteen years (Morris 14).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".