Examining Housing as a Determinant of Health: Closing the ‘Poverty Gap’ to Improve Outcomes for Women in Affordable Housing
Bibliographic record
Abstract
Background: Access to housing is an important social determinant of health and has a positive influence on health outcomes. In one large municipal city in Western Canada, over 12,000 units of affordable housing are available to support low-income individuals. Objectives: However, little is known about resident experiences living in affordable housing, how affordable housing affects their movements through the housing continuum (i.e., from housing instability to stability), how affordable housing affects their lives and the lives of their families, and how gender factors into these questions. Methods: The current study, part of the larger quantitative project, involved a survey with 160 residents of affordable housing units in Calgary, Alberta, Canada. Results: The results show that few gender differences exist in demographic factors such as age, income, and ethnicity. However, important differences exist in the experiences of women versus men, including employment status, barriers to employment, parenting, trajectory of affordable housing residency, and reasons for accessing affordable housing in the first place. Conclusion: We argue that gendered supports to reduce barriers to sustainable employment must be embedded in affordable housing programs and coupled with low or no cost childcare and supports to heal from trauma in order to break cycles of dependency for women and their children. This research builds on the scant Canadian literature that examines characteristics and experiences in affordable housing using a gender-lens.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".