Review of: Greco, Pietro: Galileo Galilei, the Tuscan Artist. Cham: Springer 2018
Bibliographic record
Abstract
meaning with them.Christopher Parsons focuses on one of the few Canadian substances to become widely used in European pharmacy: northern maidenhair or capillaire du Canada.As he shows, the same plant could be manipulated (materially through its preparation as a drug and in terms of its textual representation) to symbolize either Canada's familiarity or its otherness.Gabriel's discussion of the American Dispensary notes that the incorporation of indigenous plants and Native American knowledge about them was crucial to the attempts of elite physicians to create a national medical identity that suited the American context.At the same time, as knowledge became transformed through incorporation into pharmacopoeias, its source was often erased.Despite historians' recent interest in the circulation of medicinal substances, little attention has been paid to the pharmacopoeia as a textual form.This volume provides a thoughtful and well-integrated discussion of the genre that demonstrates both the interconnectedness and the particularity of pharmacopoeias. Anna WinterbottomAnna Winterbottom, of McGill University, works on materia medica from the Indian Ocean region in the early modern period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.096 | 0.066 |
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 source (direct Gemma or distilled Codex), 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".