The Vancouver socioecological fix: indigenous real-estate development as the city’s imagination of sustainability, affordability, and reconciliation
Bibliographic record
Abstract
In Vancouver, the Musqueam, Squamish, and Tsleil-Waututh First Nations are constructing several large real-estate developments that will deeply impact the Nations and the city itself.Developments such as Sen̓ ák w, Heather Lands, and Jericho Lands envision the construction of thousands of new apartments that will yield billions of Canadian dollars in profits from the Vancouver housing market.This paper is concerned with the enabling conditions for such developments found within the city of Vancouver's planning policies and underlying geographical imaginations.Through the application of the "socioecological fix", the paper describes how Vancouver's planning policies aim at fixing problems of sustainability, housing affordability, and reconciliation based on specific geographical imaginations.This results in the conceptualization of reconciliation as the profit-oriented construction of green and affordable realestate.In light of scholarship that highlights the intertwined nature of colonialism and capitalism, the paper raises the predicament that the reconciliatory approach conceptualized in city strategies and actively pursued by the Musqueam, Squamish, and Tsleil-Waututh is envisioning reconciliation as the reproduction of Vancouver realestate capitalism.How should scholarship contend with reconciliatory approaches that are both reproductive of settlercolonial capitalism, while also offering reconciliation in a concrete form?
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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 | 0.002 |
| Science and technology studies | 0.033 | 0.043 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.001 | 0.006 |
| 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".