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Record W3208167042 · doi:10.3138/cbmh.474-102020

Pigmented Remedies: The Pharmacy of Colour in Early Modern Europe

2021· article· en· W3208167042 on OpenAlexvenueno aff
Julia Nurse

Bibliographic record

VenueCanadian Journal of Health History · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsApothecaries' systemEarly modern periodPharmacyPeriod (music)ReceiptLate 19th centuryTraditional medicineHistoryVisual artsArtMedicineAncient historyAestheticsPolitical scienceFamily medicineLaw

Abstract

fetched live from OpenAlex

This article will examine pigments recently identified in an unpublished conservation survey at the Wellcome Collection that included two 17 th -century medical manuscripts. These pigments, which were drawn from plant and mineral products, served a dual purpose based on their medicinal and pigmented properties. An exploration of how these pigments were used (and why) by a range of practitioners – including apothecaries, physicians, “kitchen physicians,” and artisans – reveals the importance of colour throughout early modern Europe. The persistence of traditional medical theories is revealed by examining evidence across an extensive period covering the 16 th to the 18 th century. Receipt books, medical treatises, and health guides are contrasted with artisanal texts reflecting the blurring of boundaries between the worlds of medicine and art. Modern analysis by conservators of colour used in medieval and early modern texts is crucial to the preservation of pigments but also provides a deeper understanding of what and how pigmented products were used in the period and, ultimately, informs our current understandings of early modern life and medicine.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.091
GPT teacher head0.252
Teacher spread0.161 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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