Profile of Self-Regulation and Social Activity in the Portrait of Russian Youth
Bibliographic record
Abstract
Background. The relevance of studying the social activity of young people in the context of self-regulation is determined by the vulnerability of young people in difficult conditions of a transforming society subject to uncertainty. In social activity, young people socialize, manifest themselves, and therefore it is necessary to understand its factors, motives for inclusion in one or another of its forms, obstacles to its implementation, as well as risks and threats to the safety and well-being. Objectives. The aim is to establish the role of self-regulation in the involvement of young people in social activity, considering regional and gender specifics. Study Participants. This study involved 1492 respondents (Mage = 19.2; 1013 women), students of various majors from Russian regions. Methods. The research had a survey design, the questionnaires and scales were used in this work for collecting data: V.I. Morosanova's “Style of self-regulation of behavior”, Eysenck's three-factor model, FIRO-B, British scale of well-being, Scale of Russian parties and socio-political organizations attractiveness, Assessment of social contacts intensity and participation in events, and informal associations, a socio-demographic survey. Methods of descriptive statistics, cluster (k-means method) and comparative (t-Student and H-Kraskel-Wallis criterion) analyses were used for data processing. Results. It is established that the leading regulatory processes and properties in the profile of self-regulation of young people are persistence, programming of actions, and flexibility. Self-regulation has a greater impact on such forms of social activity of young people as leisure activities, participation in clubs, spontaneous events as the organizer of these forms with a predominant value for girls rather than for boys. Conclusions. The study showed the typical features of the self-regulation profile of young people. This profile is mostly conditioned by the age specifics of this social group. The limited influence of the processes and properties of self-regulation on the forms of social activity, especially in relation to young men, suggests the need to consider other factors of social activity in a complex.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".