Relationship between BIS/BAS systems along with emotional regulation difficulties and alexithymia
Bibliographic record
Abstract
Introduction: Studies related to investigating reasons of mental disorders emphasize on role of environmental factors in creation of the disorders. For this reason, in this paper, a research was conducted to investigate the relationship between BIS/BAS systems and emotional regulation difficulties with alexithymia. Methods: 200 undergraduate students of University of Tabriz in majors including humanities, engineering, and basic science were selected in 2012-2013 academic year through applying multistage random clustering sampling method. The data were collected through questionnaires of Toronto Alexithymia Scale (TAS-20), behavioral activation/inhibition system (Carver and White) and Difficulty Emotion Regulation Scale (Gratz). To analyse the data, Pearson Correlation Coefficient and Stepwise Regression were used. Correspondence: Saeedeh Khalilzad Behruzian, PhD Student. Department of Psychology, Tabriz University. Tabriz, Iran Tel:+98 9144159628 Email: saeedeh.khalilzad@gmail.com Results: BIS and BAS systems indicated positive and significant relationship with general Alexithymia and components of difficulty Identifying emotions and externally oriented thinking subscales. Positive and significant relationship was found between Alexithymia and Difficulty Emotional Regulation and its components except subscale of Lack of Emotional Awareness. Positive significant relationship was also found between difficulty Identifying emotions and difficulty describing emotions with all components of emotional regulation difficulty except Lack of emotional clarity. Conclusion: Results showed that alexithymia has relationship with difficulty in emotion regulation and brain behavioral systems. This relationship can explain reward sensitivity system disorders and emotion regulation problems including addiction, alcoholism, sensitivity inhibitory systems disorders like anorexia nervosa and some personality disorders.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".