Review: <i>Modern Coliseum: Stadiums and American Culture</i>, by Benjamin D. Lisle and <i>Architecture on Ice: A History of the Hockey Arena</i>, by Howard Shubert
Bibliographic record
Abstract
Book Review| March 01 2019 Review: Modern Coliseum: Stadiums and American Culture, by Benjamin D. Lisle and Architecture on Ice: A History of the Hockey Arena, by Howard Shubert Benjamin D. LisleModern Coliseum: Stadiums and American CulturePhiladelphia: University of Pennsylvania Press, 2017, 328 pp., 76 b/w illus. $34.95 (cloth), ISBN 9780812249224Howard ShubertArchitecture on Ice: A History of the Hockey ArenaMontreal: McGill-Queens University Press, 2016, 328 pp., 160 color illus. $49.95 (cloth), ISBN 9780773548138 Benjamin Flowers Benjamin Flowers Georgia Institute of Technology Search for other works by this author on: This Site PubMed Google Scholar Journal of the Society of Architectural Historians (2019) 78 (1): 117–119. https://doi.org/10.1525/jsah.2019.78.1.117 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 Benjamin Flowers; Review: Modern Coliseum: Stadiums and American Culture, by Benjamin D. Lisle and Architecture on Ice: A History of the Hockey Arena, by Howard Shubert. Journal of the Society of Architectural Historians 1 March 2019; 78 (1): 117–119. doi: https://doi.org/10.1525/jsah.2019.78.1.117 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 Over the past two decades, the stadium as a building type has undergone a profound transformation. For most of the twentieth century, it was the preserve of builders and engineers far more than of architects. Indeed, the most prolific designer of stadia, not just in those years but perhaps ever, Archibald Leitch, was trained, depending on your historical research, as either a mechanical engineer or a “factory architect.”1 In the past century, the stadium generally was regarded as a project of modest architectural but specific commercial ambitions (with some rare, but notable, exceptions). Much has changed recently, owing to circumstances largely exogenous to design per se but central to the powerhouse role that sports play in the economies of cities around the world. In our present moment, a stadium is likely the single largest, most technologically complex, and, perhaps most important, expensive building in any given city. In addition... You do not currently have access to this content.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".