MENTAL AND SOCIAL HEALTH OF HIGHER EDUCATION SEEKERS IN THE WAR-TIME
Bibliographic record
Abstract
Abstract. The paper is devoted to the investigation of mental and psychological health of students of Oles Honchar Dnipro National University in the war-time. The urgency of the research problem on the nature of the mental, psychological and social health. The human health as a condition of physical, mental and social well-being is considered from the perspective of the holistic approach. The findings of empirical studies about the level of mental and social health of students of Oles Honchar Dnipro National University are represented. The analysis of mental and social health of 1-3-year students of different specialties in Oles Honchar Dnipro National University. The scientific works of domestic and foreign authors concerning the research of values-based and semantic orientations and professional self-realization have been analyzed. It is empirically proved that, in general, the students have the average indicators. However, the level of mental health of some students is quite low and only a small part of youth has no social anxiety disorder. Over half of the students have high and above average indicators, but a certain number of students have clinical implications of social anxiety disorder. Subclinical and clinical implications of anxiety are typical of the quarter of students of the 1-3 years of study of Oles Honchar Dnipro National University. The third of them has subclinical and clinical implications of depression.
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.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".