POSITIVE EXPERIENCE OF POST-TRAUMA GROWTH IN THE ORGANIZATION OF VOLUNTEER ACTIVITIES
Bibliographic record
Abstract
The article discloses post-traumatic events that destroy the usual stereotypes of behavior and dramatically cause a restructuring of the volunteers’ personality structure. The purpose of the article is post-traumatic growth in the context of the formation of a positive experience of volunteers in the conditions of war, whose role should be more supportive than mentor-authoritarian in providing assistance to the victims. During the study, the method «Diagnostics of the level of alexithymia (Toronto Alexithymia Scale (TAS))» and the questionnaires «The Changes in Outlook Questionnaire» (CiOQ) and «The Posttraumatic Growth Inventory» (PTGI) were used. which are applied in the context of the author’s ideas about post-traumatic growth. The general sample of people was made up of students, whose potential features revealed the peculiarities of post-traumatic growth as a factor of sustainable human life support in wartime conditions.The post-traumatic period is characterized by such signs as increased nervousness and sensitivity to suprathreshold stimuli. Victims’ actions are not always controlled, moreover, they are often tense in anticipation of negative events. PTSD situations are accompanied by apathy, panic and aggression. There is a need to provide self-help in the context of the volunteer’s post-traumatic growth.According to the results of psychocorrection, the volunteers of both groups experience qualitative changes in overcoming critical events that arise in the situation of overcoming extremely difficult challenges. Post-traumatic positive experience indicates the quality of interpersonal relationships, increased sensitivity and closeness to the personal environment. The post-traumatic growth of volunteers is based on a wise philosophy of life, in the realization of the values «We will manage. We are together».
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".