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Record W4311694832 · doi:10.1017/9781800107861.009

Bubo Men? Repurposing Medieval Anatomic Illustrations for Plague Therapy in the Fifteenth and Sixteenth Centuries

2022· other· en· W4311694832 on OpenAlexaff
Lori Jones

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPlague (disease)FifteenthBuboRepurposingAncient historyHistoryGeographyArchaeologyEagleBiologyEcology

Abstract

fetched live from OpenAlex

Medieval artistic images most commonly used today to depict the Black Death are not, in fact, illustrations of plague. Rather, they are contemporary images of other diseases or of biblical analogues. This misidentification raises several questions, including why so few contemporary images exist with recognisable clinical symptoms of plague and when clinically relevant images first appeared. Initial answers to those questions – that artists focused more on the social chaos of disease than its symptoms and only in the later fifteenth century – now needs adjustment. We may have been looking in the wrong place for medical images of plague. Medical and art historians are giving renewed attention to and asking new questions about the presence and function of diagrams in medieval and early modern medical man-uscripts and printed books. In the 1960–70s, Loren C. MacKinney and Robert Herrlinger interpreted these diagrams as straightforward medical illustrations, but recent work has taken a more nuanced approach that considers them within a broader interdisciplinary context of the production and use of health and healing information. Surviving sketches of surgical tools and procedures, urine wheels and flasks, Zodiac, Bloodletting and Wound Men, medicinal plants and therapies and medical practitioners at work are now being considered in a wider context that not only cuts across socio-economic, professional and intellectual strata, but also dismantles cultural, linguistic, geographical and medieval–early modern divides. This broader perspective lets diagrams ‘speak’ about the practical side of medicine. Some surviving medieval medical manuscript images also show people suffering from disease. A treatise in London, British Library (hereafter BL), Sloane MS 2276, for example, provides short textual descriptions of several disorders – including leprosy, gout, podagra and alopecia – accompanied by marginal sketches of people afflicted by these conditions. An even more fully illustrated example is an early fifteenth-century copy of John of Ard-erne’s De Arte Phisicali et de Cirurgia preserved in Stockholm, National Library, X118; here one finds images of people afflicted with a wide range of illnesses, including leprosy, falling sickness, consumption and dysentery. Images of plague signs and symptoms, plague therapies and plague patients, by contrast, are notably absent from medical manuscripts before the fifteenth century and remain rare in both manuscript and print thereafter.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0050.012
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.017
GPT teacher head0.298
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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