The Road to Terrace Bank: Land Capitalization, Public Space, and the Redpath Family Home, 1837-1861
Bibliographic record
Abstract
The efforts of nineteenth-century Montreal land developer John Redpath to subdivide his country estate into residential lots for the city's rising middle class were marked by a shrewd sense of marketing and a keen understanding of the political climate – but they were also strongly determined by the Redpath family's need for status and comfort. Both qualities were provided by Terrace Bank, the house at the centre of the estate, and both would only increase with the creation of a middle-class suburb around it on the slopes of Mount Royal. As a result, the Redpath family home, and the additional homes built nearby for members of the extended Redpath family, influenced all stages of the planning and subdivision process, which met with great success over the course of the 1840s. In its use of personal correspondence, notarial documents, plans, the census, and cemetery records, this paper brings together elements of city planning, political and social history, and family history in order to provide a nuanced picture of how the nineteenth-century built environment was shaped and how we should read pubic space.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".