Environmental Friendliness of a Person’s Musical Space as a Factor of Personality Disharmony Prevention
Bibliographic record
Abstract
The article discusses correlations between a person’s musical space and the degree of personality harmony. The sound environment of a person always influences personality formation and his/her behaviour. By studying a person's musical preferences, a degree of harmony of his/her personality development can be understood. The article's purpose is to determine the correlation of musical preferences with the existence of personality disharmony and types of his/her relationships with others, as well as to determine the specifics of the impact of music on personality features of people with special needs. The authors started from the assumption that, depending on his/her personality traits, a person prefers certain patterns of musical discourse. The empirical study aimed to study relations of such personality features that testify the personality disharmony and are manifested in non-viable relationships with others. The personality manifestations in communications and educational activities were also analyzed. It was determined that music therapy plays an important role in the formation of their personalities for people with special needs. The correlation of personality traits with the perception of music has shown that persons with the external locus of control choose musical discourses that, as for their psychological content, reflect uncertainty, amorphy of world perception or its simplicity, primitiveness; on the contrary, persons with the internal locus of control choose energetic, purposeful music. Persons with the disharmonious type of relationships choose music whose psychological and emotional content reflects the next personality traits: possible aggressive behaviour; a life course that does not demand serious decisions, irresponsibility, and reluctance to resolve complex situations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".