Collaborative Experiments in New Ways of Living: Vancouver in the Post Post-Industrial Economy
Bibliographic record
Abstract
Given the importance of industrial lands to a healthy urban economy and the continued threat to their existence, urban industrial land use is an essential and topical theme for study by urban planners. Based on a review of mixed land-use planning literature, primary research, and case study examples, this paper argues that specific land-use policy, re-zoning amendments, and creative real-estate development and adaptive re-use can provide appropriate space for industry, allowing it to be an integral part of the urban fabric. The case for preserving industrial lands through innovation in land-use policy is based on literature review, analysis of city policy, and qualitative research with planning practitioners, businesses, and relevant professionals. Primary research was undertaken primarily in Vancouver, while examples were drawn from identified best practices elsewhere in North America. Vancouver’s urban industry faces challenges. Decades of redevelopment has eroded the industrial land base, leaving fragmented and in some cases underutilized industrial space; at the same time demand continues to grow from local industry, as well as development pressure from continued strong demand for housing. The literature review investigates how mixed-use developments can ease the integration of industrial, residential, and commercial activities in a dense urban form, and uncovers quantitative data demonstrating that industrial lands are an important element of the urban ecosystem, providing space for productive jobs, essential services, and city functions. This paper begins with an introduction and an explanation of methodology. Section 3 is a literature review, to situate the discussion in a wider academic context. Section 4 investigates Vancouver’s industrial sector, and section 5 is a brief overview of the urban land use system. Section 6 details multiple first-person interviews, and section 7 provides analysis. Additionally, 6 case studies are attached, fleshing out examples of innovative industrial lands policy.
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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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.020 | 0.013 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".