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Record W2087807780 · doi:10.5055/ajdm.2012.0083

Medical papyri show the effects of the Santorini eruption heavily influenced the development of ancient medicine

2012· article· en· W2087807780 on OpenAlexaff
Siro Trevisanato

Bibliographic record

VenueAmerican Journal of Disaster Medicine · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsSystems, Applications & Products in Data Processing (Canada)
Fundersnot available
KeywordsMedicineAncient historyHistory

Abstract

fetched live from OpenAlex

Exposure to ash from the catastrophic Santorini eruption radically changed Bronze Age medicine, triggering the development of new remedies, the wide dissemination of medical data, and the transfer of technologies. These developments were identified in medical papyri thanks to remedies for ailments linked to volcanic matter an oddity in Egypt, a country without volcanoes. The anomaly was traced back to the Santorini eruption, which through volcanic ash, acidified bodies of waters, and acid rain affected the whole eastern Mediterranean without sparing Egypt. Using available technology, doctors developed new remedies for severe irritation to eyes from ash and for burns on the skin, or imported foreign remedies as exemplified by paragraph 28 of the London Medical Papyrus (L28), thus resorting to technology transfer even if so crude. Furthermore, medical manuals rather than being guarded by families of physicians were now used to disseminate remedies as widely as possible. Finally, besides providing historical data, the medical reaction to the Santorini eruption could still be of use today. The remedies could be integrated in manuals for emergency situations for population left without adequate medical infrastructure at a time of exposure to heavy volcanic fallout or acidified rain.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.266
Teacher spread0.248 · 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 designQualitative
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
Published2012
Admission routes1
Has abstractyes

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