Pandemic precarity and everyday disparity: gendered housing needs in North America
Bibliographic record
Abstract
We identify key issues for housing researchers, practitioners, and advocates working in the United States and Canada to consider, both during the COVID-19 pandemic and far beyond. First, we draw upon feminist and intersectional literatures on gendered inequalities and social structures, which provide the often forgotten or overlooked context for women’s experiences in housing. This includes the broader insight that too frequently, women have not been involved in shaping the policy and planning climate around housing, even as they disproportionately are affected by them. Second, we describe women’s housing-related precarity and some of its implications, grounding this research in a political economic critique of the way that housing and resources are allocated and the neoliberal climate that values profit over people and that has induced instability for many women in so many communities. We conclude by offering examples of organizations and initiatives that work to address the disparities identified herein. Throughout the paper, we emphasize the need for intersectional and interdisciplinary collaborations (for example, among queer, anti-racist, feminist, political economic, and other scholars) that engage with complexity and orient toward equity and justice.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".