Dispositional causes of burnout, satisfaction, and performance through the fear of COVID‐19 during times of pandemic
Bibliographic record
Abstract
Abstract Rooted in research into personality, we propose that the Big Five traits would be related to fear of COVID‐19 (FOC), which in turn would lead to heightened job burnout, reduced job satisfaction, and decreased performance. Utilizing a three‐wave time‐lagged design, we collected our data from employees working in the United States and Canada ( N = 300 × 3). We found good support for our hypotheses. Extraversion, neuroticism, and conscientiousness had significant direct effects on FOC. Fear of COVID‐19 was positively related to job burnout and negatively related to job satisfaction and performance. Extraversion, neuroticism, and conscientiousness had significant indirect effects on burnout, job satisfaction, and job performance via FOC. Hence, this study identifies a key mechanism, an individual's worry about losing their valuable resources (e.g. their health, and that of their family members and friends, etc.), through which selected dimensions of personality might affect employees' work outcomes. We discuss our findings and provide suggestions for future research in this domain.
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How this classification was reachedexpand
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) | 0.002 | 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 teacher head, 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".