The Consequences of Creativity: An Analysis of News Media Discourse on Regent Park's Housing Crisis and the Creative Boom
Bibliographic record
Abstract
This MRP examines how the creative industry in Toronto is contributing to the gentrification of Regent Park, a historically marginalized neighborhood. Through a content analysis of media representation, this study shows that the ongoing development of Regent Park is discussed in news media primarily as a symbol of urban revitalization and creative cities. However, this paper argues that such a representation of gentrification hides the deep-seated issues of systemic racism and unjust housing practices that have historically impacted the community. The paper highlights how the creative industry, while contributing to the economic growth of the city, has led to the displacement of long-term residents, particularly Black people, from their homes. The paper argues that this ongoing gentrification reinforces social and economic inequalities, perpetuates marginalization, and exacerbates housing insecurity in Regent Park. The study concludes by emphasizing the importance of addressing the root causes of gentrification, including systemic racism, in order to ensure that creative cities benefit all members of the community equitably.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.021 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".