Resilience and Liveability as Drivers of Sustainability: The Case of UBC’s Public Spaces
Bibliographic record
Abstract
Environmental sustainability and resilience have become urgent priorities in contemporary urban planning as cities confront the disruptive impacts of climate change, extreme weather, and global health crises. Within this framework, university campuses increasingly act as catalysts for sustainable urban transformation. This research, developed within the LOVE Sapienza and NARRATES projects, seeks to identify the key factors that enhance the liveability of campus public spaces and to propose a dedicated methodology, supported by the case study of the University of British Columbia (UBC) in Vancouver. The proposed approach integrates spatial analyses, field observations, and perceptual mapping aligned with the principles of the Charter for Resilient and Liveable Public Spaces. UBC exemplifies how biophilic design, inclusive governance, and art-based placemaking can strengthen resilience, social cohesion, and cultural identity. The study contributes a transferable framework for designing and managing campus public spaces as drivers of sustainability and urban regeneration.
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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 | 0.020 | 0.017 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".