The Creative Destruction of Montreal: Street Widenings and Urban (Re)Development in the Nineteenth Century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rapid industrialization of North American cities during the nineteenth century was associated with periodic innovations in transportation and massive increases in traffic, which, in turn, caused perennial problems of congestion in ill-adapted urban cores. During the latter half of the nineteenth century, the municipal government of Montreal expropriated and destroyed thousands of properties to widen dozens of existing streets. This paper argues that the key to these acts of "creative destruction" was the removal of barriers to circulation through a periodic redimensioning of the "urban vascular system, " and hence, a speed up in the rate of urban growth. A detailed investigation of the planning and execution of major street widening projects between 1862 and 1900 reveals how the built environment of Montreal was periodically destroyed and recreated by a local growth coalition committed to increasing aggregate rents, property values, and municipal revenues, through the intensification of land use. Examination of a sample of properties before and after street widenings suggests that redevelopment was most intense during economic boom periods and in central areas, when and where competition for space was most extreme, and there existed the greatest pressure to remodel the built landscape to fit the needs of a changed economic 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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it