Indigenizing City Planning Processes in Saskatoon, Canada
Bibliographic record
Abstract
The article examines how the City of Saskatoon’s strategies for working with Indigenouscommunities in high-level planning processes leading to its Strategic Plan 2013-2023 relate to three concepts framing the academic literature on how to re-calibratestate-Indigenous society relations at the urban municipal level: Indigenization, coproduction,and coexistence. We argue that indigenizing mainstream city planningprocesses through authentic forms of partnership will increase Indigenous densitywithin our shared cities. Qualitative interviews with leaders from City Hall andAboriginal communities revealed a disconnection between municipal and Indigenousparticipants’ ideas about inclusion. The City’s mechanisms of consultation engagedIndigenous communities as stakeholder interest groups, but not as autonomouspolitical communities wanting to share control as full partners. A civic culture andinstitutional structures that affirm and operationalize indigeneity would have improvedthe outcome of Saskatoon’s planning processes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".