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Record W2999920950 · doi:10.1098/rsnr.2019.0037

Galenizing the New World: Joseph-François Lafitau's ‘Galenization’ of Canadian Ginseng, <i>CA</i> 1716–1724

2020· article· en· W2999920950 on OpenAlexaboutno aff
Gianamar Giovannetti-Singh

Bibliographic record

VenueNotes and Records the Royal Society Journal of the History of Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLocalismDichotomyUniversalismSociologyEnculturationEnvironmental ethicsReligious studiesLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This essay situates the French Jesuit missionary Joseph-François Lafitau's (1681–1746) ‘discovery’ of Canadian ginseng within its social, commercial and religious contexts, and illustrates how the missionary's upbringing and education in France shaped the way he perceived nature in the New World. It elucidates the manner in which Lafitau ‘Galenized’ Canadian flora, fauna and peoples. It explores the role of Lafitau's dual enculturation in both a mercantile household and later the Society of Jesus in his application of Galenic categories to Canadian nature. The essay then examines the tensions between localism and universalism in Galenic medicine in the eighteenth century. It links these dichotomies to Lafitau's Galenization of Canadian ginseng. Finally, it suggests that since the Jesuits were prohibited from trading goods they had purchased , they sold medicinal plants they had cultivated themselves, which played a central role in financing the Society's missions in a manner they believed to be morally acceptable.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.490

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.025
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
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 head0.024
GPT teacher head0.227
Teacher spread0.203 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNotes and Records the Royal Society Journal of the History of ScienceSame topicHistorical and Literary StudiesFrench-language works237,207