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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.041 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".