Mitigating the socio-economic costs of transportation infrastructure projects and enhancing community livability: a case study of Eglinton Crosstown, St. Clair reconstruction & Central corridor: LRT projects and their outcomes
Bibliographic record
Abstract
This research examines three case studies of transportation projects within the North American context including: the Eglinton Crosstown LRT in Toronto, St. Clair Streetcar reconstruction in Toronto, and the Central Corridor LRT in Minnesota to determine how planners can utilize planning policy and financial policy tools to offer solutions to help mitigate the social costs of transportation infrastructure projects for the affected communities. Results indicate that community benefits agreements and grants can be effective planning policy and financial policy tools that could be used to help mitigate the negative impacts of Light Rail Transit construction. Results also indicate that clear evaluative frameworks must be established, including clear targets, thresholds, reporting, and compliance in order for community benefits agreements to be considered successful. Key words: community benefits agreements; light rail transit; transportation; construction; social costs
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".