Contagion in the Markets? Covid-19 and Housing in the Greater Toronto Area
Bibliographic record
Abstract
The Covid-19 pandemic has had crucial impacts on housing markets as working from home has become a new normal for certain economic groups. In this paper, we analyse the specific role the pandemic played in worsening the ongoing housing affordability crisis in the Greater Toronto Area (GTA). The GTA has, in fact, been experiencing a housing crisis since the early 2000s. In this paper, we argue that this continuing affordability crisis stems from the economic growth model that was embraced in the late 1990s, and we discuss why the existing market-oriented housing model has failed. The economic growth model of the Toronto region depends on the convergence of the financialization of housing and massive suburbanization. Because of this, the new wave of suburbanization that has accelerated with the outbreak of Covid-19 is not a new phenomenon for the GTA. In the final analysis, we also illustrate that the ongoing Covid-related-suburbanization in the GTA has deepened the housing crisis as the region continues to be less and less affordable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".