Assessing Urban AboriginalHousing Needs in Southern Alberta
Bibliographic record
Abstract
This paper examines the current reality as it relates to Aboriginal people and housing in Lethbridge. This inferential study is designed to provide a basic demographic profile of Aboriginal people in Lethbridge with an emphasis on demonstrating housing needs in this, the first stage in a larger research agenda focused on investigating Aboriginal housing needs in Lethbridge. Specifically, we sought to develop an innovative project articulating how Aboriginal individuals who currently rent or own homes succeeded in doing so while identifying the types of barriers they overcame that continue to hinder other Aboriginal people in their attempts to obtain housing. The data compiled from a questionnaire delivered to a sample of the urban Aboriginal population were utilized to demonstrate the standard of living of Aboriginal people in Lethbridge in relation to their professed needs and contemporary housing conditions. Sixty-one landlords were also contacted in an effort to establish the reasons for renting or not renting to Aboriginal people and their related concerns.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".