Emotional Intelligence and Job Performance of Academicians in Malaysia
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
This study explores the predictive utility of an emotional intelligence measurement that is based on the Role-Based Performance Scale (RBPS) measure of job performance. This inquiry aims to investigate whether the level of emotional intelligence score of each academic staff in the selected private higher educational institutions affects job performance. This research applied a quantitative method approach to cast the researchers’ net wider to include selected higher educational institutions to obtain as much data as possible. The results demonstrate a significant relationship between emotional intelligence and job performance of academic workers in private higher educational institutions. Therefore, these significant findings shed further light on the theoretical and practical utility of the construct of emotional intelligence and job performance, and have proven the fact that emotional intelligence is accountable for and could predict job performance.
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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 | 0.000 | 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) | 0.003 | 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 it