Writings on architecture and the city
Bibliographic record
Abstract
Writings on Architecture' is an anthology of texts by George Baird, focusing on his on-going interest in planning and the built environment, something which is particularly manifest in his attention to the city of Toronto, where he is active in architecture, urban design and heritage preservation.0After graduating from the University of Toronto in 1962, and then from University College, London, England, Baird went on to teach architectural theory and design at the Royal College of Art, and the Architectural Association School of Architecture in London, returning to Toronto in 1967. There, he founded his architectural practice, and joined the faculty of architecture at the University of Toronto and the faculty of the Graduate School of Design at Harvard University, where he was the G Ware Travelstead Professor of Architecture, and Director of the M Arch I and M Arch II Programs. From 2005 to 2009 Baird was Dean of the Faculty of Architecture, Landscape, and Design at the University of Toronto.0A principal author of the pioneering 1974 urban design study 'Onbuildingdowntown', he is the author/editor of numerous books, including 'Meaning in Architecture' (with Charles Jencks), 1968; 'Alvar Aalto', 1969; 'The Space of Appearance', 1995; and 'Queues, Rendezvous, Riots' (with Mark Lewis), 1995.The book includes an introductory essay by Louis Martin and is essential reading for those interested in architecture, architectural history and theory, urbanism and the built environment
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".