Making a market for itself: The emergent financialization of student housing in Canada
Bibliographic record
Abstract
This paper demonstrates the infiltration of finance into increasingly niche real estate sectors, taking the example of the emergent Canadian purpose-built student accommodation (PBSA) sector since 2011. Drawing on a novel database of PBSA, qualitative document analysis, and key informant interviews, we uncover the business strategies and geographic patterns of investment in the sector. We then consider the local impacts of this phenomenon in Waterloo, Ontario, the country’s largest PBSA market, where finance-driven new-build studentification has contributed to higher housing costs and age segregation. This process of financialization has differed from other housing sectors as it depends on the creation of new student housing to provide an avenue for investment therein. At the same time, finance-driven new-build studentification functions as a spatial fix by directing investment to secondary cities. However, this process has been fragile, marked as much by failure as success, pointing to the limits of financialization.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".