Review: <i>Crafting Enlightenment: Artisanal Histories and Transnational Networks</i>
Bibliographic record
Abstract
Book Review| September 01 2022 Review: Crafting Enlightenment: Artisanal Histories and Transnational Networks Lauren R. Cannady and Jennifer Ferng, eds. Crafting Enlightenment: Artisanal Histories and Transnational Networks Liverpool: Liverpool University Press, 2020, 418 pp., 56 color and 20 b/w illus. $99.99/£65 (paper), ISBN 9781800348141 Jason Nguyen Jason Nguyen University of Toronto Search for other works by this author on: This Site PubMed Google Scholar Journal of the Society of Architectural Historians (2022) 81 (3): 378–379. https://doi.org/10.1525/jsah.2022.81.3.378 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Jason Nguyen; Review: Crafting Enlightenment: Artisanal Histories and Transnational Networks. Journal of the Society of Architectural Historians 1 September 2022; 81 (3): 378–379. doi: https://doi.org/10.1525/jsah.2022.81.3.378 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentJournal of the Society of Architectural Historians Search Lauren R. Cannady and Jennifer Ferng’s recently published edited volume, Crafting Enlightenment: Artisanal Histories and Transnational Networks, presents ten essays on the operations of artisanal practice in the arts and sciences during the long eighteenth century. The book, which began as a colloquium titled “Artisanal Praxis and State Power” at the Clark Art Institute in December 2017, adopts an interdisciplinary approach, with contributors who are leading scholars in the fields of history, history of art and architecture, and history of science and technology. The editors’ intentions are twofold: first, to interrogate the historical category of the artisan across a range of geographies, including Europe, the Americas, Asia, the Levant, and Oceania; and second, to consider how different political entities mobilized artisanal praxis for purposes of state building. To achieve the latter goal, the project harnesses local studies of technical practice to broader state-sponsored and often transnational efforts linked to... You do not currently have access to this content.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.018 |
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".