МІЖНАРОДНИЙ ДОСВІД ПІДТРИМКИ ПРАЦЕВЛАШТУВАННЯ ВЕТЕРАНІВ ТА РОЗВИТКУ ВЕТЕРАНСЬКОГО ПІДПРИЄМНИЦТВА
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 article presents comprehensive approaches to supporting veteran-owned businesses and facilitating the employment of demobilized military personnel in civilian life across various countries, with a particular focus on the experiences of the United States, Canada, and the United Kingdom. In the United States, a multi-level system of veteran support is implemented through a network of governmental institutions, where the Department of Veterans Affairs, the Department of Defense, and the Small Business Administration (SBA) play key roles. The main components of this system include: the Transition Assistance Program (TAP); peer-to-peer mentoring systems for veterans with PTSD; specialized employment services; support centers for service members and their families; educational programs such as “Boots to Business”; financial tools and preferential loans; special procurement quotas for veteran-owned businesses; and numerous information resources and portals. In Canada, veteran support is managed through the dedicated department Veterans Affairs Canada, with a focus on educational programs and mentorship. Of particular note is the “Operation Entrepreneur” program, funded by the government, financial institutions, and charitable organizations. The United Kingdom employs its own model, where public initiatives are complemented by the significant involvement of civil society organizations. Key instruments include: the Start Up Loans scheme; Heropreneurs mentoring support; the "Civvy Street" and "Be the Boss" programs; the work of the SSAFA Armed Forces charity; and the "Mapping the Needs" research project. The article demonstrates that the successful reintegration of veterans into civilian life requires a comprehensive approach, including financial assistance, educational programs, psychological support, mentoring, and the creation of special conditions for the development of veteran entrepreneurship, tailored to the specific needs of this population group.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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