Immigration, Polarization, or Gentrification? Accounting for Changing House Prices and Dwelling Values in Gateway Cities
Bibliographic record
Abstract
Past research has identified immigration, social polarization, and gentrification as factors with significant impacts upon price movements and other housing characteristics in gateway cities. This study attempts to compare the effects of these three factors in Toronto and Vancouver, Canada's primary gateway cities, over the period from 1971 to 1996. The paper describes house price changes from Multiple Listing Service rolls and changes of dwelling values in census tracts, and interprets visual evidence for the effects of the three factors. The observed centralization of price gains is then sharpened in a univariate and multivariate analysis of changes in dwelling values for census tracts in each metropolitan area. While there is consistency in the spatial patterns of changes in housing prices and dwelling values between the two cities, there are differences in the importance of the three processes at different times and places. Moreover, strong effects at the metropolitan scale become much more blurred with spatial disaggregation.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".