Social support of veterans and their families: models of rehabilitation and integration
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.
Bibliographic record
Abstract
The purpose of the study is a comprehensive study of modern models of social support for veterans and their family members in Ukraine. The research process used an interdisciplinary approach that combines elements of sociological, legal, psychological and economic analysis. The comparative legal method was used to analyze national and foreign models of social rehabilitation of veterans; the systemic and structural method was used to identify relationships between levels of social support (state, regional, public); content analysis of regulatory legal acts. The article substantiates that social support for veterans is a key element of national security and social stability, and its effectiveness is determined by the level of interaction between state structures, communities and non-governmental organizations. It was determined that the social adaptation of veterans has a two-stage nature – psychological and socio-economic, which interact in the process of returning to civilian life. The factors of successful adaptation (family support, community, professional rehabilitation, veteran communities) and barriers (stigmatization, loss of identity, limited social infrastructure) were analyzed. It was established that the most promising is an integrated model of social rehabilitation, which combines psychological, professional, educational and economic support. The positive practices of the USA, Canada, Israel and Scandinavian countries, where the assistance system is based on the principles of partnership, multisectorality and a personalized approach, are characterized. The results of the study can be used to improve the state policy of Ukraine in the field of social support for veterans, develop local rehabilitation programs, create comprehensive assistance centers and implement retraining programs and veteran entrepreneurship.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it