Race, Space and Place: Exploring Toronto’s Regent Park from a Marxist Perspective
Bibliographic record
Abstract
Regent Park, a multi ethnic immigrant community situated in the centre of downtown Toronto, is the poorest neighbourhood in Canada. Using the spatial triadic theory of French Marxist Henri Lefebvre, Vanessa Rosa’s reformulation of his theory and Sherene Razack’s concept of “Place becomes Race”, the aim of this paper is to demonstrate that Regent Park has become a racially produced space through spatial practice, representations of space and representational spaces. In addition to Lefebvre, the writings of Frederick Engels, Louis Althusser, Antonio Gramsci and David Harvey will also be examined to put into context the historical significance of the existence of Regent Park in a capitalist society. This paper will analyze why Regent Park was built, who developed it, and who were the original residents. And the conclusion, that Regent Park was produced as a marginalized and racialized space within the periphery of the center, will be discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.024 | 0.031 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".