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Record W4200459333 · doi:10.1163/15733823-12340031

From New Spain to Damascus: Ottoman Religious Authorities and the Making of Medical Knowledge on Tobacco

2021· article· en· W4200459333 on OpenAlexafffund
Aslıhan Gürbüzel

Bibliographic record

VenueEarly Science and Medicine · 2021
Typearticle
Languageen
FieldPsychology
TopicFamilies in Therapy and Culture
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOttoman empireMedical knowledgeAdaptation (eye)Religious beliefHistory of medicineLawSociologyPolitical scienceHistoryClassicsMedicinePsychologyMedical educationEpistemologyPhilosophyPolitics

Abstract

fetched live from OpenAlex

Abstract This article examines the translation, circulation, and adaptation of the medical opinion of Spanish physician Nicolas Monardes (d. 1588) on tobacco in the Ottoman Empire. In addition to medical and encyclopedist authors, the spread of new medical knowledge in learned and eventually popular registers was the result of the efforts of religious authorities. These latter authorities, namely jurists, Sufis, and preachers, took an interest in the bodily and mental effects of smoking for its moral implications. In forming their medical-moral discourse, they sought and studied contemporary medical works of both Ottoman and European provenance. Challenging the strict division between learned and popular medicine, this article argues that Ottoman religious authorities, while often excluded from the history of medicine, played significant roles in the circulation, adaptation, and localization of medical knowledge.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.362
Teacher spread0.335 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2021
Admission routes2
Has abstractyes

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