Mothering Without a Home: Internalized Impacts of Social Exclusion
Bibliographic record
Abstract
Mothering while homeless poses significant barriers in achieving health and unique challenges while parenting without a home. The contextual processes shaping mothers' experiences of social exclusion and homelessness, and the internalized impacts on homeless mothers' lives, are reported on in this article. Critical narrative methodology was employed with 41 participants comprised of 26 mothers experiencing homelessness, and 15 service providers who provided care to mothers experiencing homelessness participated in this study. Two overarching themes were constructed: (1) internalized expectations and regulation and (2) pushing back from the margins: sources of resilience and resistance. Women showed a great deal of agency within the existing structures of exclusion; they worked, and at times fought, tirelessly for safety, housing, their children, and their human rights. They actively demonstrated their agency and resistance within the webs of exclusion they faced. In promoting health, nurses can best support mothers in many ways, such as by employing strengths-based nursing, challenging their own stigma and notions of 'good mothering', and by recognizing and challenging the often insurmountable barriers posed within the system for this population.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| 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".