Mobs and Microbes : Global Perspectives on Market Halls, Civic Order and Public Health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p><b>Market halls at the intersection of civic order and public health</b><br>Markets and market halls<i> </i>have always been more than about trade and nourishment. A detailed look at the histories of marketplaces provides evidence of the public health concerns they faced, as well as the social commotion, mobilization and, at times, unrest they hosted. This edited volume reappraises the market hall, examining both its architectural and its social and political significance. <br> Focusing on how these buildings embodied transformations in architecture and urbanism from the mid-nineteenth century until the age of COVID-19, <i>Mobs and Microbes</i> situates market halls at the intersection of civic order and public health. Central to this are advances in sanitation and hygiene. These radical interventions also mediated conflicting interests. Through their rational designs, market halls intertwined government policies and regulations, which formalized, controlled and literally imposed order. Additionally, markets served as demonstration grounds for community-led mobilization efforts. With case studies spanning North America, Europe, Asia, India and Africa, this edited volume provides a global perspective on covered market halls across many disciplines, including architecture, history of art and architecture, landscape architecture, food studies and urban history. </p><p>Contributors: Samantha L. Martin (University College Dublin), Leila Marie Farah (Toronto Metropolitan University), Ashley Rose Young (Smithsonian’s National Museum of American History), Daniel Williamson (Savannah College of Art and Design), Zhengfeng Wang (University College Dublin), Nkatha Gichuyia (University of Nairobi), Xusheng Huang (Southeast University), Ruth Lo (Hamilton College), Emeline Houssard (Sorbonne Université), Henriette Steiner (University of Copenhagen), Andrea Borghini (Università degli Studi di Milano), Min Kyung Lee (Bryn Mawr College).</p><p>Ebook available in Open Access.<br>This publication is GPRC-labeled (Guaranteed Peer-Reviewed Content).</p>
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it