Governing the Commercial Streets of the City: New Terrains of Disinvestment and Gentrification in Toronto's Inner Suburbs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper explores the commercial shopping street as a site of racialized class struggle. The argument builds around the study of a disinvested inner‐suburban neighbourhood in Toronto, which furnishes an ideal case through which to achieve the paper's objectives of, first, identifying commercial space as an important site of contestation over competing suburban futures; second, delineating how processes of racialization inform the economies of commercial gentrification and urban renewal; and third, highlighting the epistemological and theoretical insights that emerge when research is conducted collaboratively, among academic, community, and activist groupings. The paper argues that such commercial spaces play a key role in making the city accessible to vulnerable and marginalized groups. Two competing planning agendas centred on reordering commercial space, meanwhile, spell the almost‐certain demise of such arrangements: a “real estate” vision featuring new condominium developments, and a new urbanist resistance favouring “green” and “creative” alternatives. Our engagements with precarious, predominantly immigrant‐owned businesses and community‐based researchers reveal the complicity of both modes of development planning with processes of displacement and structural racism. Specifying these dynamics as “racialized class projects” opens up space for intervention and organizing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it