The 60s: Montreal Thinks Big
Bibliographic record
Abstract
the 1960s, Montreal, like many other large cities - Paris, Philadelphia, and Rio among them - embarked on a program of change on a monumental scale. With its metro, underground shopping promenades, and 1967 world's fair, it stood out from the rest in a remarkable way. In Montreal, new skyscrapers and expressways fundamentally transformed the architectural and urban landscape without permanently compromising the viability of the city centre. Archetypal among North American and European cities affected by the same phenomenon, Montreal remains unique because of the vision that shaped its development. This richly illustrated volume explores the ideas that were to define Montreal's future - ideas whose effects are still being felt today. Framed by a striking photographic essay, it includes contributions by a group of diverse and distinguished scholars, together with a wealth of drawings, maps, charts, models, photographs, and literary vignettes that reveal the perceptions and visions of urban planners, architects, writers, and artists of the period. Published to accompany the exhibition The 60s : Montreal Thinks Big, organized by the Canadian Centre for Architecture in Montreal, this book offers a new look at the social and architectural legacy of a momentous decade -- Front flap of cover.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.049 | 0.006 |
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".