Understanding Emotions as a Unique Predictor of Social Self-Realization in Part-Time and Full-Time Students
Bibliographic record
Abstract
Self-realization, as a psychological phenomenon that combines well-pronounced motivational and cognitive-evaluative components, largely determines adaptive resources of a person. This article analyzes the relationships among three types of self-realization, basic personal traits, professional experience and emotional intelligence of young adults on a sample of 125 students (girls and boys) of the Southern Federal University. A part of the sample consisted of part-time students who combined work and professional training (n=51), the rest were full-time students in their respective fields of study (n=74). The study tested three research hypotheses, namely that: (1) The respondents would report relatively low level of social self-realization, in comparison with professional and personal self-realization; (2) Significant differences would be observed in indicators of social self-realization, but not in emotional intelligence, between the sub-samples of part-time and full-time students; (3) Professional experience, basic personal characteristics and individual indicators of emotional intelligence would contribute to the respondents' subjective assessment of their social self-realization. Results of ANOVA, correlational and regression analysis of data collected using psychodiagnostic techniques by Kudinov (self-realization profiles), Lyusin (EmIn), and Sschebetenko (Big Five-2), by and large, confirmed all three study hypotheses, in particular and most importantly – about the differences between the two categories of respondents in the level of their social self-realization and in various combinations of its predictors, specifically, about the unique role of the ‘understanding emotions’ factor. The article also discusses the importance of self-realization for successful social adaptation of young people and describes various psycho-correctional and psychological-pedagogical methods, including specialized training of emotional intelligence, designed to compensate for low social self-realization.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".