Emotional intelligence, empathy, extraversion, alexithymia, environmentally responsible behavior in students-carriers of different MAOA, COMT gene genotypes
Bibliographic record
Abstract
The article is devoted to the study of the association of genotypes of genes of monoamine oxidase A (MAOA) and catechol-O-methyltransferase (COMT) with emotional intelligence and personality traits of young people, such as extraversion-introversion, empathy, and alexithymia. The work was attended by students-psychologists, in the amount of 100 people. The following methods were used: Test of emotional intelligence (D.V. Lyusin); Emotional Empathy Questionnaire (A. Mehrabian, N. Epstein); «Big five» test; Toronto Alexithymia Scale. For statistical processing of the results obtained, we used multivariate analysis of variance ANOVA with Tukey’s post hoc analysis for non-equilibrium sample sizes. As a result, it was found that the genes of the monoaminergic system COMT and MAOA are associated with the general level of emotional intelligence. Women, in general, showed a lower level of emotional intelligence. The Met/Met genotype of the COMT gene is associated with a higher level of emotional intelligence and high extraversion. The Val/Met genotype of the COMT gene in women is associated with low emotional intelligence and low empathy. The Val/Val genotype of the COMT gene in men is associated with extraversion. In the work, no associations were found between the genotypes of the MAOA, COMT genes, and the level of alexithymia.
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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 | 0.001 | 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) | 0.002 | 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".