“The Password is One − Afghanistan”: The Social Movement of Internationalist Soldiers and Its Role in the Fate of Veterans of the War in Afghanistan
Bibliographic record
Abstract
The scientific article is devoted to the study of the importance of the social movement of internationalist soldiers in the fate of veterans of the war in Afghanistan.In contrast to the military and political aspects of the war in Afghanistan, the issue of the post-war fate of veterans of the Afghan war and the activities of public associations "shuravi" has not been practically studied.However, it was the social movement of internationalist soldiers in the conditions of socio-economic and political instability, the collapse of the united Union state at the turn of the 1980s-1990s that took on the state tasks of social security for veterans, war invalids, and families of the dead.In this, the "Shuravi" saw a moral duty to their comrades-inarms, from whom the war had forever separated, to their loved ones and relatives.Many of the associations of "afghans" actively help veterans, including other wars, and in our time.The purpose of the article is to fill in this issue, which allows for a more representative understanding of the legacy of the Afghan war and its consequences.The study, based on an objective and systematic study of various groups of sources (archival materials, complexes of normative, departmental, party sources, periodical press materials, sources of personal origin), highlights: the socio-political and social context of the emergence of the movement of veterans of the Afghan war, historical memory and public attitude to the military presence of the Soviet troops in Afghanistan (December 25, 1979 -February 15, 1989), perception of the image of war and man in war, formation and development of the social movement of internationalist soldiers -veterans of the war in Afghanistan.The article introduces previously unknown and unpublished sources, collected and studied during the research.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.022 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".