The Sockeye Special: Reimagining the Arbutus Corridor for a Resilient Vancouver
Bibliographic record
Abstract
An underutilized ribbon of land cuts through the urban fabric of Vancouver, British Columbia. Known as the Arbutus Corridor, it is the right of way for a rail line that once connected industry on opposite sides of the city. Since the last train rattled down the line in 2001, the land has sat idly waiting for a new purpose. \nIt is a familiar scene in postindustrial cities across North America, where landscapes of defunct infrastructure serve as a reminder of once thriving economies powered by industries that have since shifted to the periphery or overseas. This urban condition has prompted a range of responses that aim to breathe new life into these discarded spaces. \nVancouver has long been recognized as a leader in this postindustrial redevelopment movement, and cities around the world now emulate Vancouverism as the model for their own development. Yet, the Arbutus Corridor remains a stranded rail link snaking through the urban milieu. At just under ten kilometers in length and eighteen hectares in area, the corridor remains one of the largest unutilized spaces in the city. Running north to south from False Creek to the Fraser River, the linear site cuts a complete transect through several diverse neighbourhoods of the city. \nThrough these studies, the thesis will propose a reimagined Arbutus Corridor that responds to the complexity of modern urban systems and activates the collective needs and aspirations of city dwellers in the 21st century metropolis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".