Bibliographic record
Abstract
The House of Memory is a house, a collective house in which Milanese citizens hope to find protection for the memories they want to preserve. Nobody inhabits this house, and in this case the word house is understood as an envelope, a protected space, or a shelter that crystallizes memory within the flow of the metropolis. So the house becomes an object to be both protected and exhibited, \na treasury to be surrounded with an envelope that both defends and exposes its content. \nStefano Graziani’s photographs depict the construction of the building, while the texts by Howard Burns, Jean-Louis Cohen and Kersten Geers try to interpret its significance in the context of contemporary architecture. The book includes a complete set of drawings of the building. AUTHORS \nHoward Burns is a 1961 graduate of Ancient and Modern History from Cambridge University where he was a King’s College Fellow. He later taught art and architectural history at the Courtauld Institute in London and held the titles of Slade Professor of Fine Art at the University of Cambridge and Fellow at King’s College. He was the Robert C. and Marian K. Weinberg Professor of Architecture \nat Harvard University, Professor at the University IUAV in Venice, Visiting Professor at MIT and Senior Lecturer in the History of Architecture at Harvard University. Jean-Louis Cohen is Sheldon H. Solow Professor in the History of Architecture at the Institute of Fine Arts at New York University. From 1997 to 2003 he directed the Institut Français d’Architecture and the Musée des Monuments Français. He has been a curator for numerous exhibitions including The Lost Vanguard at the Museum of Modern Art in New York (2007) and Scenes of the World to Come and Architecture in Uniform at the Canadian Center for Architecture (1995 and 2011). In 2014, he was the curator of the French pavilion at the Venice Biennale of Architecture. Since 2014 he is a professor at the Collège de France. Kersten Geers is a founding partner of OFFICE KGDVS. He was professor at the University of Ghent, and visiting professor at Columbia University, NYC, and the Academy of Architecture in Mendrisio (CH), and is currently teaching at the EPFL, Lausanne (CH) and at the Harvard Graduate School of Design. Stefano Graziani is a photographer. He has worked and published di erent portfolios for Domus, A+U, Numero Press, Camera Austria, Log, Repubblica, Cross, FlashArt Italia, Abitare, Monopol Magazine, Marsilio. His work has been exhibited at Fondazione Ragghianti (2006), GC.AC Monfalcone (2006/2009), Festival della Filoso a, Modena (2006), Villa Manin Centro d’arte Contemporanea (2007), Manifesta 7, and at the XIII, XIV and XV Venice Biennale (2012, 2014, 2016).
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.258 | 0.105 |
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".