"In the Name of Progress": Postwar Urban Renewal and the Razing of Black Spaces in Windsor, Ontario, 1957-1980
Bibliographic record
Abstract
In the mid-1950s, Windsor, Ontario embarked on a comprehensive fifteen-year urban renewal initiative aimed at redeveloping the city’s downtown core into a modern, municipal hub and locale for both private and commercial interests and cross-border tourism. The initial focus of this strategy was a neighbourhood situated just east of the commercial district, which had been home to much of the Windsor’s Black population for more than a century. Rooted in a complex interplay of social and economic factors, Windsor’s renewal efforts, guided by a misguided, paternalistic understanding of physical transformation as a catalyst for positive social change, resulted in the demolition of significant physical and cultural spaces, fundamentally altering the character and landscape of this community. Furthermore, a reliance on external experts coupled with minimal community consultation further alienated and marginalised Windsor's Black population, depriving them of agency in the renewal process. Through a meticulous examination of redevelopment records, community archives, and oral histories, this study explores the transformative consequences of redevelopment on Windsor's Black community. This paper will demonstrate how the loss of the community’s physical spaces not only disrupted intricate kinship networks, cultural practices, and economic structures, but also obscured their visibility as one of the city's oldest and most resilient communities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".