Emerging Narratives of a Sustainable Urban Neighbourhood: The Case of Vancouver’s Olympic Village
Bibliographic record
Abstract
Vancouver’s Olympic Village neighbourhood has been credited with playing an important role in shifting the city towards a more comprehensive approach to sustainability. Like many other urban sustainability efforts at the neighbourhood scale, however, little is known as to the actual performance of the neighbourhood from the perspective of its occupants. To help fill this gap, I present a framework for the evaluation of the performance of sustainable neighbourhoods that that combines insights from narrative and social practice theories to explore how certain narratives of sustainable living are created, translated into practice, and play out in the lives of the principal constituents they affect. In doing so, I begin to reveal the qualitatively felt, experiential dimensions of being in this new form of development, with important lessons for the design, construction and management of future sustainable neighbourhood projects. The study shows that a narrative of liveability and the consideration of short-term quality of life benefits is central to the achievement of ecological and emissions goals. However, an in-depth consideration of the needs of lower income populations is necessary to ensure that the benefits of sustainable living are distributed evenly across socio-economic tiers.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.021 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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 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".