The Architecture of Community: Public Space in Vancouver's Downtown Eastside
Bibliographic record
Abstract
The public spaces of many low-income, inner-city neighbourhoods are fundamental in forming strong social networks, nurturing the development of community and supporting the needs of vulnerable residents. This aspect of the urban condition is rooted in the understanding of public space as social space, emphasizing the innumerable differences of individuals and their everyday patterns of inhabitation. \n \nThis thesis explores Vancouver’s Downtown Eastside, a historically marginalized neighbourhood with a strong sense of community that has developed from an accessible and inclusive public life. However, as the neighbourhood undergoes re-development, social polarization threatens the vitality of its public space and the existing sense of acceptance and connection. To mitigate the impact of gentrification on public space, architecture is employed as a tool to support and enhance the area’s inclusive public realm. Applying principles of Everyday Urbanism, it illustrates the social importance of ‘everyday space’, emphasizing the human condition and multidimensional aspects of cities. \n \nThree distinct designs propose ‘neighbourhood places’ at strategic locations throughout the Downtown Eastside. Guided by the principles of ‘city design’ and four established design goals, each project demonstrates an attempt to anchor the existing community in place, foster a dialogue between different neighbourhood groups and promote a sense of ownership and belonging. Although this thesis concentrates on the Downtown Eastside, it outlines a set of design principles that can be applied universally, increasing community connections and support throughout our cities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".