Bibliographic record
Abstract
Town and Crown is an illustrated history of the planning and development of Canada’s capital, filling a significant gap in our urban scholarship. It is the story of the transformation of the region from a subarctic wilderness portage to an attractive modern metropolis with a high quality of life. The book examines the period from 1800 to 2011 and is the first major study that covers both sides of the Ottawa River, addressing the settlement history of Aboriginal, French, and English peoples. Ottawa’s transformation was a significant Canadian achievement of the new profession of urban planning in the mid-20th century. Our national capital has the country’s most complete history of community planning and served as a gateway for important international planning ideas and designers. Town and Crown illustrates the influence of landscape architect and Olmsted protégé Frederick Todd, Chicago’s City Beautiful architect Edward Bennett, and British planner Thomas Adams. Prime Minister Mackenzie King maintained a direct interest in planning Canada’s capital for almost fifty years, choosing France’s leading urbaniste, Jacques Gréber, to plan the post-1945 redevelopment of the region. The principal research method for Town and Crown includes over sixteen years of archival studies in North America, Australia, and Europe, and interviews with key politicians, designers, and planners that supplemented the contemporary research. The narrative is supplemented by over 200 images drawn from early sketches, historical maps, plans, and archival photography to illustrate the physical transformation of Canada’s federal capital.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.009 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.007 |
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".