Positive Relational Management for Sustainable Development: Beyond Personality Traits—The Contribution of Emotional Intelligence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Positive relationships are of major importance in our personal and working lives for promoting well-being, and fostering healthy and sustainable organizations. The research literature suggests that emotional intelligence is a key factor in promoting and maintaining positive relationships. We examined the association between trait emotional intelligence and positive relational management in Italian workers, controlling for the effects of personality traits. Participants were administered the Big Five Questionnaire (BFQ), the Trait Emotional Intelligence Questionnaire Short Form (TEIQue-SF) and the Positive Relational Management Scale (PRMS). Hierarchical regression analyses showed that trait emotional intelligence explained an additional 14–16% of the variance beyond personality traits in relation to positive relational management in workers. These results underscore the relationship between trait emotional intelligence and positive relational management, offering new opportunities for promoting both personal well-being and healthy and sustainable organizations.
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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 | 0.002 | 0.000 |
| 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 it