Montreal Electric Streetcar Suburbanization: A Study of a Canadian City’s Morphological Transformation Before World War 1
Bibliographic record
Abstract
Montreal’s rich transportation history presents an interesting laboratory for geographical research. The aim of this paper was to investigate the ways in which the electric streetcar shaped Montreal’s urban form during the late nineteenth and early twentieth century (1892-1913). Information was collected from historical newspaper articles, documents, and maps retrieved from a variety of local archives. By reviewing sources pertaining to the Montreal Street Railway Company’s ventures, the initial expansion of the electric streetcar system was traced. The streetcar system’s presence in the suburban context was also explored through the review of the Montreal Park and Island Railway Company’s franchises. The term ‘streetcar suburb’ was frequently employed in the literature, but without explanation of its criteria. A streetcar suburb model was developed, which was then compared to Lachine – a suburban neighbourhood located at the southwest end of the island of Montreal. It is concluded that Lachine does not fit the streetcar suburb model. Though the neighbourhood exhibits some of the model’s properties, they are not necessarily attributable to the streetcar. Lachine’s urban development is more influenced by the presence of large industrial firms and institutions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".