Beyond Greenery: Unveiling the diverse impacts of green infrastructure within the Four Walls
Bibliographic record
Abstract
This research examines the transformative impact of Green Infrastructure (GI) on residents of social housing in Toronto's low-income neighbourhoods, focusing on 'The Four Walls' (Regent Park, The Esplanade, Moss Park, and St. James Town). It explores three key areas: 1) how residents perceive GI influencing their neighbourhood’s social dynamics, 2) the role of recognitional equity in addressing resident preferences, and 3) residents' desired involvement in decision-making. Through semi-structured interviews, it is clear that residents recognize and value GI’s role in supporting social dynamics, want better maintained and more multi-functional GI, and would like to be included to co-create GI in their neighbourhood. By addressing knowledge gaps and decision-making practices, this research contributed to a better understanding of how GI can improve lives, empower residents, and foster community development.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| 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 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".