Indigenizing Urban Planning in “Vancouver”: The ʔəyalməxw / Iyálmexw [Jericho Lands] Redevelopment as an Indigenous urbanism
Bibliographic record
Abstract
This thesis examines Indigenous urbanism in the city of Vancouver, specifically in its emergence through the redevelopment of the Jericho Lands site by the Musqueam, Squamish, and Tsleil-Waututh Nations. Using the Policy Statement created for the redevelopment and the video recording of the City Council Meeting where the Policy Statement was approved, this thesis argues that the identified themes and their interplay and interconnections constitute a specific form of Indigenous urbanism that is working to transform planning paradigms and inserts the Musqueam, Squamish, and Tsleil-Waututh into the process of spatial production in Vancouver. By using a blended grounded theory and case study approach, the findings emerge inductively from the data, revealing the intentions, values, processes, and methodologies as described by the Musqueam, Squamish, and Tsleil-Waututh Nations themselves. In respecting Indigenous knowledge and voices, this thesis does not reinterpret or discover what this knowledge is but rather aims to analyze it at the crossroads of Indigenous studies, urban theory, and the processes of spatial production. Using Lefebvre’s theory on the production of (social) space, this thesis investigates how the production of knowledge by the three Nations that occurs in the creation of the Policy Statement and the planning stages of the redevelopment allows the Musqueam, Squamish, and Tsleil-Waututh to enter Lefebvre’s conceived dimension as producers of knowledge. Further, this role in the production of space has implications for conceptualizations of Indigenous and urban space, helping to deconstruct these understandings as they have been constituted by settler-colonialism. Thus, Indigenous urbanism as it emerges through the plans for the Jericho Lands redevelopment presents new approaches to planning and helps to constitute urban areas built on Indigenous territories as Indigenous spaces.
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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 | 0.019 | 0.014 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".