Mothers with mental illness experiencing homelessness: a critical analysis
Bibliographic record
Abstract
Accessible summary This study explored the structural forces shaping the health of mothers with mental illness experiencing homelessness, as well as their individual acts to overcome existing barriers. The findings indicated that: • Mothers experienced discrimination based on their homelessness status, mental illness, income source and/or motherhood status in their attempts to seek housing and obtain employment. • Mothers felt ‘stuck’ in a never-ending cycle. However, they demonstrated great resilience, strength and perseverance despite facing incredible hardships. • Nurses are in unique positions to advocate for this group, but must first recognize and become aware of the extensive structural barriers faced by these women. The experiences of homeless mothers with mental illness were examined from the critical perspective of feminist intersectionality. The purpose of this study was to unveil experiences of oppression and resistance in the lives of homeless mothers with mental illness, while learning from them what is conducive to their health. A qualitative secondary analysis was done using focus group transcripts from a study examining issues related to diversity and homelessness for psychiatric survivors and a study on mental health and housing. A purposive sample of 7 focus groups comprised of 67 participants was used for this study. Findings revealed three overarching themes: (1) discrimination based on intersecting social identities; (2) being stuck: the cycle of oppression; and (3) we're not giving up: resistance through perseverance. The contextual influences of mothering while homeless with a mental illness were emphasized in the results. The findings illuminate the need for increased on ongoing advocacy at individual and structural levels.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".