Bibliographic record
Abstract
Gelotophobia is a fear of ridicule, that manifests both as part of anxiety and depressive disorders, and independently. The study finds out whether some features of recognition and control of expression are limited to the area of positive emotions or manifest themselves in the regulation of other emotions with gelotophobia. The results of self-reporting and test methods for assessing the understanding of emotions, as well as direct and indirect measurements of the ability to control emotions, are compared, and an interference effect of alexithymia is controlled. In total 235 subjects took a part (Mage=17,95, SDage=1,78), among whom 181 female and 54 male students of the humanities answered questionnaires Emotional Intelligence (EI), Ways of coping (WCQ) of Lazarus, Questionnaire of Gelotophobia (GELOPH-15), Toronto Alexithymia Scale (TAS), attributional style questionnaire of Seligman) and did tests (Video Test of Lysin and Ovsyannikova, timing of emotion naming). Quantitative comparative analysis, correlation, and regression analysis were used. The results indicate that some characteristic properties of recognition and control of emotions associated with gelotophobia extend to some other emotions (sadness, but not fear and anger). The reduction in recognition and control of emotions in gelotophobia manifests only through self-reporting methods, while tests show minimal differences depending on gelotophobia grade and their derived character. The accuracy of recognition decreases with gelotophobia grade only when the recognition time is limited. The reduction of control manifests only in the rarer use of Avoidance coping, which is associated with a lower evaluation of the ability to control achieving success and avoiding failure by the individual. the conviction of the individual.
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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 | 0.000 | 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) | 0.002 | 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".