Histological identification of syphilis in pre‐Columbian England
Bibliographic record
Abstract
Microscopic analyses served to complement the macroscopic identification of venereal syphilis in two of four pre-Columbian skeletons from the site Hull Magistrates Court in England. Diagnosis was based on parameters presented by Schultz ([1994] Origin of Syphilis in Europe, Toulon: Centre Archaeologique du Var, p. 63-67; [2001] Yrbk. Phys. Anthropol. 44:106-147; [2003] Identification of Pathological Conditions in Human Remains, New York: Academic Press, p. 73-109), which characterized venereal syphilis at a histological level. Observation of the microarchitecture of these samples allowed a more comprehensive approach to identification of the disease (processes). In most samples, Polsters and Grenzstreifen (or remnants of such structures) could be identified, suggesting the presence of a chronic, inflammatory disease such as venereal syphilis. Sinous lacunae were also observed in all histological samples, pointing to lytic activity (osteitis). The combination of both proliferative and destructive processes is pathognomonic for syphilis, and histological analyses provided a more accurate diagnosis of this infectious disease in these four individuals. As a result, the histological evidence suggests that venereal syphilis was present in England prior to 1492. This secondary form of evidence supports the macroscopic identification of the disease, and shows the power of a multimethodological approach to paleopathological diagnoses.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".