Informing peer support programs for active duty military spouses of U.S. Army soldiers
Bibliographic record
Abstract
Introduction: Military spouses experience stressors adapting to the careers of service members. The Veteran Spouse Resiliency Group (V-SRG) is a group peer support program designed to foster community, share available support services, including educational, career, health care, and community resources, and promote self-care and wellness practices. As part of a randomized controlled trial (RCT) funded by the U.S. Department of Defense, this initial study assessed the needs of military spouses to adapt and test the V-SRG program for the Army spouse population. This qualitative study sought to understand military spouses' 1) perceived challenges and rewards of military life, 2) needs for additional support, and 3) recommendations for a peer support program. Methods: Participants were 35 spouses of active duty U.S. Army soldiers. Zoom group sessions were recorded, transcribed, and analyzed with inductive (open) coding to develop upper-level categories derived from the research questions. Results: Most participants were female (97%); 43% were white and 17% were Black or African American, Asian, or Native Hawaiian or other Pacific Islander. Themes identified to be tested in the new program in the larger parent RCT included challenges of education and career progression, parenting and child care, deployment, and accessibility of medical and behavioural health care. Benefits included value of military community and occasional positive aspects of relocation. Finally, recommendations for peer support programming included content, program structure, and program amenity recommendations. Discussion: Military spouses described aspects of military life to inform the design of a peer support program to meet their needs and preferences.
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.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".