Designed to displace : how The 606 trail, a large green infrastructure project in the city of Chicago, has displaced low-income residents due to rising housing costs
Bibliographic record
Abstract
The research in this thesis aims to understand the direct impact of The 606 trail, a large green infrastructure project in the city of Chicago, on rising housing costs in the blocks directly adjacent to the project. The research is conducted by analyzing the current policies in place to protect affordable housing, conducting a comparative block study of four blocks to identify issues with current policies that are not working to limit gentrification, and finally delivering policy guidelines to help mitigate future gentrification and displacement. This approach was selected to understand how housing typologies are changing and to identify the loopholes being used to avoid providing affordable units in new construction developments. By focusing on the block by block impacts, patterns that would otherwise be missed were revealed as trends in gentrification. The resulting guidelines aim to provide more protections for multi-family 2 to 4 flats, eliminate loopholes in providing affordable units in new construction developments, and make adjustments to the new accessory dwelling unit policy for its pilot program to be more equitable.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".