Residential mobility of the urban poor, a study of female-headed single parent Aboriginal households in Winnipeg
Bibliographic record
Abstract
An investigation of the pattern and determinants of frequent residential mobility among highly mobile low-income families in Winnipeg, this study features an examination of the pattern and reasons for frequent mobility among low-income families in an impoverished neighborhood using qualitative interviewing. The study particularly advances previous knowledge about the residential mobility of the urban poor, especially poor Abo iginal single-parent women in Winnipeg. The main findings are that highly mobile households are predominantly headed by poor, unemployed, single parent Aboriginal women. The major factors that influence residential mobility among low-income Aboriginal households are the need for low rental accommodation and more living space. Since many of them were unemployed or worked in low paying service jobs, the women limited their housing searches to inner city neighbourhoods where they could access low rental accommodation. Their need for low rental accommodation reflected their low incomes, low levels of education and reliance on government transfer payments such as social assistance. The other finding was that the residential mobility of the low-income Aboriginal women was determined in part by their perceived racial discrimination in the housing market. This perception served to limit their housing search to, and within, neighbourhoods with a high Aboriginal population. (Abstract shortened by UMI.)
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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 | 0.000 | 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 | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".