Mapping displacement through lived experiences: Countermapping transit-induced gentrification in Kitchener-Waterloo, Ontario
Bibliographic record
Abstract
This article seeks to enhance our understanding of the role transit infrastructure plays in shaping patterns of gentrification and displacement by directly engaging with residents living along a new light rail transit (LRT) line who are affected by these processes. Displacement is difficult, if not impossible to statistically measure, yet much of the literature on transit-induced gentrification relies on quantitative analysis. Our approach is based on a collaboration between academic and non-academic partners that assembles, analyses and amplifies the experiences of marginalised residents in order to shift planning, policy and political conversations about the nature of change within our region. Through interviews with approximately fifty low-income residents living along a new LRT corridor in Waterloo Region, we analyse patterns, processes and experiences of displacement and the loss of already existing affordable housing. This information has been mapped to produce narratives that counter the dominant views which have celebrated an urban revival along the LRT corridor. Our research emphasises the need to incorporate lived experiences of displacement into central positions within the debates that make and shape cities.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".