Post-traumatic growth in the context of the organization of volunteer activities as an environmental personal need
Bibliographic record
Abstract
The article is devoted to the study of the relationship between post-traumatic growth and the vitality of the individual in the context of the organization of volunteer activities according to the current ecological situation. The purpose of the article is the justification of post-traumatic growth in the context of the organization of volunteer activities as an environmental problem of personality formation in modern conditions. During the research, the following psychodiagnostic methods were used: the ‘Alexithymia Level Diagnosis (Toronto Aleximism Scale (TAS))’ method, ‘The Changes in Outlook Questionnaire’ (CiOQ) and ‘The Posttraumatic Growth Inventory’ (PTGI, Questionnaire of post-traumatic growth), which is applied in the context of the author's ideas about post-traumatic growth.The theoretical approaches to the peculiarities of the post-traumatic growth of volunteers in the context of the formation of their positive experience and preservation of health in the conditions of war are substantiated. It has been established that the preservation of psychosomatic health depends on personal, psychological, physiological and social indicators of vitality. Post-traumatic positive experience in the context of the formation of the volunteer's environmentalism testifies to the quality of interpersonal relations, the growth of sensitivity and closeness to the personal environment. Post-traumatic stress disorders in volunteers affect the personal sphere of relationships and cause destructive disorders in the sphere of communicative relations. There are differences between volunteer students of various specializations and psychology students in the field of sustainability indicators, but they are not significant enough in the organization of volunteer activities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".