The State of Knowledge on Female Veterans Experiencing Homelessness: A Scoping Review of the Literature
Bibliographic record
Abstract
The primary goal of this scoping review was to assess and summarize existing research on homelessness among female Veterans to understand their unique experiences. A total of 52 relevant studies were found and included. All identified studies had been conducted in the United States, with one in the United States and Puerto Rico. The findings provided important insight on services access/utilization, indicating that homeless female Veterans with substance abuse, physical health conditions, and mental health issues have high rates of accessing services; however, there is a lack of housing services available for female Veterans with children. Although the findings revealed many studies conducted in the United States, research investigating the issue needs to be conducted across the international community. In doing so, alternative methods and policies for supporting female Veterans experiencing homelessness can be identified and transferred. In particular, exploratory qualitative studies are needed to further understand the experience of homelessness for female Veterans.
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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 | 0.008 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.018 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".