Shelter in Place
Bibliographic record
Abstract
In this article, we interrogate the representation and construction of public park space in a settler colonial city: Toronto/Tkaronto. First, we draw on the relationship between urban neoliberalism and prudentialism to demonstrate the way public health authorities in Toronto/Tkaronto promoted a neoliberal ideology of prudentialism that emphasized individual action (e.g., social distancing, personal hygiene, sheltering in place) in response to the COVID-19 pandemic. Second, we consider the extent to which this response congealed and combined with broader anxieties that were used to manage more than the virus. We focus specifically on the way these anxieties took hold in public park space, and in particular the response to encampment communities. We theorize prudentialism, as an instrument of the white settler state, to interrogate the twin processes of organized abandonment and organized violence (Gilmore 2022), which were made visible in the treatment of unhoused people amidst the pandemic in an affluent and seemingly progressive city in a nation now known as Canada. Recognizing that COVID-19 has afflicted global cities marred by real estate speculation and the continual reliance on the commodification of Indigenous Land, which has made homelessness and urban displacement a lived condition for some, we argue that public health crises result not from—and thereby cannot be solved by—prudential responsibilization, but from the willful ignorance of the neoliberal, capitalist white settler [real estate] state (Stein 2019).
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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 | 0.000 | 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 | 0.012 | 0.017 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.002 |
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".