Financializing Through Crisis? Student Housing and Studentification During the Covid‐19 Pandemic and Beyond
Bibliographic record
Abstract
Abstract The emergence of purpose‐built student accommodation (PBSA) as a ‘global’ asset class has physically and socially transformed university cities through ‘new‐build studentification’ implicated in the financialization of urban space. Yet, the COVID‐19 pandemic has exposed the risk inherent in this asset's reliance on a narrow submarket, as students' domestic and international mobilities were temporarily disrupted. We interrogate PBSA providers' response to the pandemic through the analysis of real estate consultancy reports, firms' annual reports and other investor‐facing documents, in Africa, Australia, Europe and North America, demonstrating how the financialization of this niche sector is sustained through crisis. Tactics include building goodwill to expand market share, temporarily reorienting towards domestic students and operational strategies to cut costs and increase revenues. Despite the sector's optimism, these approaches amplify existing trends of finance‐driven new‐build studentification in university cities, characterized by uneven development, the privatization of student housing and deepening class and age segregation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".