In light of transit: Documenting the scales of urban change along the LRT line in Hamilton, Ontario
Bibliographic record
Abstract
Abstract Large‐scale transit projects, such as light rail, are transformational for cities due to their ability to attract investment, curb sprawl, and intensify urban areas. In part because of enhancements to the public realm and improved connectivity, areas along new transit lines witness significant growth and investment, making them less affordable for residents already there. However, very little research has examined experiences of transit‐induced gentrification, particularly at the early stages of a new transit project. The purpose of this article is to document these experiences from the perspective of those living along the planned LRT corridor in Hamilton, Ontario. Importantly, our research was conducted before construction started. Through in‐depth interviews with residents living within 800 m of the planned LRT route, we found disparate experiences of change and ongoing housing affordability concerns on an individual, neighbourhood, and city scale. Many Hamilton residents express a need for more community engagement and transparency in the decision‐making process. We detail these experiences and offer policy recommendations to inhibit further housing insecurity and displacement in light of the LRT development.
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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 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| 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".