ASSOCIATION BETWEEN EMOTIONAL-VOLITIONALDYSFUNCTION AND FEATURES OF AGGRESSION OR HOSTILITYIN MENS WITH DIFFERENT FORMS OF SUBSTANCE ADDICTIONS:A CROSS-SECTIONAL STUDY
Bibliographic record
Abstract
OBJECTIVE: The aim: The research aim was to study features of emotional-volitional sphere and its association in mens with different forms of Substance Addictions. PATIENTS AND METHODS: Materials and methods: We examined 146 patients with alcohol and drug addictions using Toronto Alexithymia Scale, Zverkov-Eidmann`s questionnaire and Buss-Durkee questionnaire. RESULTS: Results: The study showed an increase in the overall level of alexithymia, a moderate level of aggressiveness and a sufficient level of volitional self-regulation without a significant difference between the groups. The indirect correlation of "persistence" with the "general level of alexithymia", "difficulty identifying feelings" and "physical aggression" in group 1 and at the same time the indirect correlation between "self-control" and "verbal aggression" and "volitional self-regulation" with "difficulty describing feelings" can be explained by the opposite meaning of these concepts and phenomena themselves.However, it is interesting that the indicators "physical aggression" and "difficulty describing feelings" in group 2 were significantly lower, but at the same time correlated with "general level of alexithymia" and "irritability", respectively. On other hand in group 1 the indicator "suspiciousness" is directly related to the "general level of alexithymia", but its level is significantly lower in comparison with group 2. CONCLUSION: Conclusions: The phenomenon of alexithymia is not only recorded in the clinical picture of patients with various forms of addiction, but can also induce the development of manifestations of aggressiveness and hostility in them. Correction of alexithymia is necessary to understand the emotional state of these patients and choose the right approach to their treatment and rehabilitation.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".