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Record W2409083645 · doi:10.7146/ht.v115i1.56729

Hvorfor forsvandt spedalskhed fra Danmark i slutningen af middelalderen?

2015· article· da· W2409083645 on OpenAlexaboutno aff
Kristina Lenz

Bibliographic record

VenueHistorisk Tidsskrift · 2015
Typearticle
Languageda
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
Fundersnot available
KeywordsLeprosyTuberculosisDiseaseDemographyUrbanizationQuarter (Canadian coin)Mycobacterium lepraeMedicineGeographyImmunologyBiologyPathologyEcologyArchaeologySociology

Abstract

fetched live from OpenAlex

Why did leprosy disappear in Denmark at the end of the Middle Ages?Leprosy and tuberculosis were prevalent in Europe during the first millennium, but thereafter leprosy declined. In Denmark a material of 3033 skeletons from the period 1100-1530 indicates that the prevalence of leprosy among adults was more than one quarter. The material also indicates that leprosy declined in the later Middle Ages, first in towns and cities in the 14th century, later in rural communities around 1550. It is unknown why this occurred. It has been suggested that the decline of leprosy in towns was caused by the isolation of contagious individuals in leprosaria (Sankt Jørgens Gårde). However, this cannot be the only reason because institutionalizing never broke the chain of infection. People suffering from leprosy were contagious many years before they showed visible signs of the disease. Another explanation has been the increasing prevalence of tuberculosis that developed in Denmark with the increasing urbanization in the 13th and 14th centuries and in the rural communities with the intensified cattle breading by the end of the 16th century. There is a certain cross-immunity between the bacteria of the two diseases, but more likely leprosy patients became more susceptible to underlying latent tuberculosis owing to the decline in immune status associated with the progression of the disease. This would lead to increased mortality from tuberculosis and therefore finally to the disappearance of leprosy from Denmark during the late Middle Ages.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.044
GPT teacher head0.297
Teacher spread0.253 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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