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Record W4319442624 · doi:10.1177/0095327x221150819

The State of Knowledge on Female Veterans Experiencing Homelessness: A Scoping Review of the Literature

2023· review· en· W4319442624 on OpenAlex
Heba A. Hassan, Jonathan Serrato, Cheryl Forchuk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArmed Forces & Society · 2023
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsWestern UniversityLawson Health Research InstituteParkwood InstituteThunderbird Partnership Foundation
Fundersnot available
KeywordsMental healthExploratory researchPsychologyGerontologySubstance abuseQualitative researchMedicinePsychiatrySociologySocial science

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.109
GPT teacher head0.476
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it