Creativity as a Resource of Adaptation in a Politically and Economically Unstable Environment
Bibliographic record
Abstract
The purpose of the study was to identify the specifics of creativity in student age and the peculiarities of socio-psychological adaptation in a politically and economically unstable environment, as well as gender and micro group patterns of the relationship between creativity and adaptability. The methods such as the Guilford-Torrance method, “Desire for creativity” Scale, Kettell test, Methods of Moreno sociometry, Leary’s method, and Dembo-Rubinstein method were used to monitor the variables. The study identified that non-verbal creativity develops in individuals aged 16-17 years. The creative attitude to life develops in the ones aged 17-18. At the age of 18-19, creativity becomes the most integrated into the system of personal characteristics are motivational and personal components of creativity, which form positive connections with the fundamental adaptive personality characteristics, which indicates a greater adaptive resource of creatively oriented individuals. It was also found that boys, compared to girls, were more prone to leadership, more persistent, assertive (E), more emotionally stable (C), calm (O), and also more independent (Q2). Girls were more likely to feel guilty, anxious (O), more sociable, open (A), sensitive, and vulnerable (I). The study found that students with a high level of development of divergent thinking and its components (cognitive factors of creativity) carry out interpersonal communication (as a component of adaptation) most flexibly and effectively making students less prone to depersonalisation and reducing the risk of emotional exhaustion and maladaptation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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) | 0.001 | 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 teacher head, 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".