Housing Costs in an Oil and Gas Boom Town: Issues for Low-Income Senior Women Living Alone
Bibliographic record
Abstract
In resource-based towns that have historically been dominated by young workers and their families, seniors’ housing issues have received little attention by community leaders and senior policymakers. However, since the 1980s there has been a growing trend of older women living alone in Canadian rural and small town places. Although research on rural poverty focuses on small towns in decline, booming resource economies can also produce challenges for low-income senior women living alone due to higher housing costs and the retrenchment of health care and service supports. Because housing costs can consume a significant proportion of household income, low-income senior women living alone may not have the financial resources to cover expenses in a competitive housing market. Using a household survey, we explored this different dimension of the Canadian rural landscape by looking at housing costs for low-income senior women living alone in the booming oil and gas town of Fort St. John, British Columbia, Canada. The authors findings indicate that low-income senior women living alone are incurring higher housing costs compared with other senior groups.
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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 | 0.001 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".