Design on the edge : an urban industrial waterfront in Richmond : Bridgeport sub-area and Van Horne industrial park
Bibliographic record
Abstract
Richmond, also known as Lulu Island, was carved out from the passage of the Fraser River to the Pacific Ocean. The River and its rich delta soils have bestowed a strong fishing and agricultural industry upon Richmond. This thesis examines an area of Richmond that is located along the shores of the Fraser River where the North Arm splits into the Middle Arm. This area, specifically the Bridgeport sub-area and the Van Home Industrial Park, is a predominantly light industrial neighbourhood located along the northwest shores of Richmond. This particular site has gradually undergone redevelopment over the past ten years as commercial land uses have begun to take the place of residential and agricultural land uses. These new land uses, in many instances, are not complementary to one another and the area moves towards becoming dominated by big box commercial and tourism-based commercial. Residential land use is being replaced by these new land uses due to the noise generated from the flight path for the north runway of the Vancouver International Airport which passes directly over this neighbourhood. This thesis explores three revitalization schemes that would allow for the redevelopment of this area to proceed in such a way that creates an opportunity for a strong neighbourhood identity. One that recognizes the demands and diverse nature of the area while establishing a variety of land uses that are able to coexist and take advantage of the site's physical and experiential attributes and its strategic location within the city and region.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".