The Contributions of Personality Traits and Emotional Intelligence to Intrapreneurial Self-Capital: Key Resources for Sustainability and Sustainable Development
Why this work is in the frame
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Bibliographic record
Abstract
In the innovative research area of the psychology of sustainability and sustainable development, Intrapreneurial Self-Capital (ISC) constitutes a promising core of resources to face the challenges of the 21st century. This article presents two studies supporting the contribution of trait emotional intelligence to ISC beyond that explained by the three most quoted personality trait models. The Intrapreneurial Self-Capital Scale (ISCS), Trait Emotional Intelligence Questionnaire Short Form (TEIQue-SF), Big Five Questionnaire (BFQ), Mini International Personality Item Pool Scale (Mini-IPIP), HEXACO-60, and Eysenck Personality Questionnaire Revised Short Form (EPQ-RS) were administered to 210 first and second year university students (Study 1) and 206 university students in the last three years of undergraduate university studies (Study 2). Hierarchical regression analyses demonstrated that Emotional Intelligence (EI) explained additional variance in ISC beyond that accounted for each of the three personality trait models for both samples. These results should encourage future research within a positive primary prevention perspective in the framework of the psychology of sustainability and sustainable development.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it