Gentrification and the an/aesthetics of digital spatial capital in Canadian “platform cities”
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
This paper reports on the findings of an empirical study of the street‐level visual spatialities of urban platforms in three Canadian cities: Toronto, Vancouver, and Montreal. Enumerating, typologizing, and spatially analyzing incidences of platforms in these three cities, we find platforms to be concentrated in neighbourhoods classified as “gentrified,” “gentrifying,” and “gentrifiable,” while being largely absent from established affluent enclaves. We theorize the significance of these spatialities in three ways. First, we suggest that the emplaced visibility of platforms functions to cue expenditures of digital spatial capital—the ability to stake claims to space through engagements with digital technologies—in neighbourhoods where these platformized materialities are visually encountered. Second, we argue that these expenditures of spatial capital are associated with the ways in which platforms glamorize mundane urban consumption practices (the aestheticization of consumption) while decoupling acts of consumption from face‐to‐face interaction (the anaestheticization of social relations). And third, we identify propositions for how these an/aesthetic dynamics may potentially influence the further densification of platforms on city streets in transitioned (gentrified) and transitional (gentrifying and gentrifiable) urban enclaves .
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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