Waiting Game: Exploring the Lived Experiences of First Nations who are Waiting for Housing to Determine Appropriate Policy and Planning Directions
Bibliographic record
Abstract
This Major Research Paper explores the lived experiences of Eabametoong and Nibinamik First Nations members while they wait for housing to determine how planning and policy can better address the challenges they identify. This period that can reach 10 years is marked with uncertainty and increased stress that negatively impacts quality of life, promotes overcrowding, and results in many members leaving their reserves. Understanding the impacts of waiting has not been studied in a First Nations context. The work of Oldfield and Greyling (2015) on waiting for housing in post- apartheid South Africa serves as a framework in which to analyze the lived experiences of Canada’s First Nations while they also wait for housing due to similar colonial pasts. As such, this paper presents waiting as the product of political inaction, and therefore a policy direction in its own right.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".