Emotional Intelligence in Asperger Syndrome: Implications of Dissonance between Intellect and Affect
Bibliographic record
Abstract
Although many individuals with AS keenly desire social relationships, they are often unsuccessful in developing and maintaining them. Emotional intelligence (EI) as both an ability and trait is a construct that offers potential to enhance understanding of emotional and social characteristics of individuals with AS. Twenty-five young adults (aged 16 -21 years) diagnosed with AS participated in an exploratory study that investigated EI. Trends and differences between AS and normative groups were examined. Correlation and multiple regressions were employed to explore relationships amongst variables. Results indicated that trait EI was impaired for individuals with AS; however, ability EI was intact. Regression analyses revealed that trait and ability EI together predicted 57% of the variance for self-reported interpersonal skills and 31% of the variance for parent-reported social skills. Trait EI alone predicted 19% of the variance for self-reported social stress. Results are discussed in terms of terms of social skills interventions for individuals in this population and suggest future research directions.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".