Selling the ‘scary city’: gendering freedom, fear and condominium development in the neoliberal city
Bibliographic record
Abstract
In contemporary postindustrial cities, urban revitalization policies are discursively linked, in part, to urban fears and relations of threat. In Toronto, these tensions are inscribed in the city through new-build gentrification in the form of condominium development, a process that has created tens of thousands of securitized residential spaces. These spaces, I suggest, are produced in part through gendered ideologies about cities, bodies, safety and fear that (re)emerge or are (re)invigorated in the context of Toronto's revitalization hopes and fears. In this paper, I explore the gendered imagery of revitalization through condominium advertisements, and read these in relation to interviews conducted with women condominium owners. This exploration emphasizes the simultaneous commodification of pleasure and danger through gendered images and experiences. I argue that the dynamic tension between freedom and fear, excitement and anxiety, highlights the gendered constitution of the neoliberal makeover of the city, and the patriarchal power relations that continue to structure contemporary urban life.
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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 | 0.001 |
| Science and technology studies | 0.008 | 0.039 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".