Is municipal planning responsive to urban Indigenous housing needs? An examination of housing plans and policies in British Columbia
Bibliographic record
Abstract
This article presents findings from a study conducted in partnership with the Aboriginal Housing Management Association (AHMA) and explores how municipalities in British Columbia, Canada are responding to Indigenoushousing needs through Official Community Plans (OCP) and housing strategies. Using a content analysis of OCPs and housing strategies, survey responses and semi-structured interviews with municipal planners in British Columbia, this research aims to better understand the barriers municipalities perceive they face in addressing urban Indigenous housing needs. This discussion offers key considerations for municipal planners for identifying and responding to urban Indigenous housing needs in municipal level housing policies. To better address urban Indigenous housing needs, municipal housing planners must first identify Indigenous housing needs as distinct needs in urban settings. Further, municipal policies and programs aiming to respond to Indigenous housing needs must be developed through Indigenous-led and Indigenous-informed processes in order to uphold Indigenous rights. By addressing urban Indigenous housing needs, municipalities can demonstrate their commitment to action on reconciliation efforts in Canada.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".