Development of constructive response to frustration in adolescence using arts-based approaches
Bibliographic record
Abstract
The article focuses on the problem of the emotional development constructive response in adolescence, which is of increasing relevance within the context of the rise in negative social manifestations, changes in social situation of development. The aim of this research is to formulate a constructive response model’s development to adolescent frustration from socially advantaged and disadvantaged groups using art-based approaches (specifically art therapy) combined with traditional psychological tests and modeling experiments. The study draws on the concepts of L. S. Vygotsky about the peculiarities of adolescents’ mental development and the role of this period in the formation of personality, as well as various aspects of a˙ect and needs development in childhood (L. I. Bozhovich). The study considers the position of mental states as a particular psychological category and their (states) integrating function, conception of the regulation of mental states (N. D. Levitov), theoretical and experimental development for the diagnosis, management, and directed formation of the mental states (Yu. B. Nekrasova) as well as the concept of experiencing (“perezhivanie”) as described by F. E. Vasilyuk. A range of methods, combining quantitative and qualitative approaches were used in the study: video observation (outlined in the protocols); mathematical statistics; tests and modeling experiments. Experimental studies were carried out over a duration of five years within three di˙erent types of schools in the region of Moscow (n= 203, aged 13-15). One conclusion of the experimental studies, the author‘s program was implemented in a number of educational institutions in Moscow and other regions in Russia.
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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 | 0.001 |
| 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".