A morphological and molecular approach to investigating infectious disease in early medieval Iberia: The necropolis of La Olmeda (Palencia, Spain)
Bibliographic record
Abstract
OBJECTIVE: Here we investigate infectious diseases that potentially contribute to osteological lesions in individuals from the early medieval necropolis of La Olmeda (6th-11th c. CE) in North Iberia. MATERIALS AND METHODS: We studied a minimum number of 268 individuals (33 adult females; 38 adult males, 77 unknown/indeterminate sex; and 120 non-adults), including articulated and commingled remains. Individuals with differential diagnoses suggesting chronic systemic infectious diseases were sampled and bioinformatically screened for ancient pathogen DNA. RESULTS: Five non-adults (and no adults) presented skeletal evidence of chronic systemic infectious disease (1.87% of the population; 4.67% of non-adults). The preferred diagnoses for these individuals included tuberculosis, brucellosis, and malaria. Ancient DNA fragments assigned to the malaria-causing pathogen, Plasmodium spp., were identified in three of the five individuals. Observed pathology includes lesions generally consistent with malaria; however, additional lesions in two of the individuals may represent hitherto unknown variation in the skeletal manifestation of this disease or co-infection with tuberculosis or brucellosis. Additionally, spondylolysis was observed in one individual with skeletal lesions suggestive of infectious disease. CONCLUSIONS: This study sheds light on the pathological landscape in Iberia during a time of great social, demographic, and environmental change. Genetic evidence challenges the hypothesis that malaria was absent from early medieval Iberia and demonstrates the value of combining osteological and archaeogenetic methods. Additionally, all of the preferred infectious diagnoses for the individuals included in this study (malaria, tuberculosis, and brucellosis) could have contributed to the febrile cases described in historical sources from this time.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.084 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".