Designing Responsive Natures: Urbanism and Public Green Space in Vancouver
Bibliographic record
Abstract
"Urban densification is a common objective in contemporary Anglo-American planning, but it can have negative effects regarding access to high-quality public green space in major metropolitan regions. Concerns are also raised in current debates about the possible links between public green space provision, gentrification and housing affordability. This Supervised Research Project explores how urban densification and public policy intersect in the provision, development and design of public green space in the City of Vancouver. It considers how public policy reflects dominant contemporary discourses about compact cities, with the aim of assessing the substance, coherence and effectiveness of public sector responses to these intersecting challenges. Three case studies of recently (re)developed public green spaces in Vancouver illustrate a critical discussion of how the development of adaptable, resilient and considerate public green space is now underway within Vancouver’s densifying urban context. Forthcoming public green space proposals are also examined as representations of current municipal ideals regarding public green space provision, development and design. The intricacies of public green space development in Vancouver’s context are revealed to be highly complicated, with multilayered plans and policies providing contradictions as well as clear strategies. It is concluded that while good work is being done in Vancouver, the creation of high-quality public green space must address local needs while complying with overarching citywide and regional plans. In particular, public green space needs to be measured using a multitude of methods, and existing public green spaces need to be redeveloped or enhanced to respond effectively to increasing demands for their use by diverse publics. It is recommended that planners, public officials and other key actors focus on developing a sense of place particular to the changing Vancouver context, with larger global considerations being held as supportive rather than competitive"@eng
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".