The effect of risk of contracting and fear of COVID-19 on burnout and job satisfaction in Polish teachers
Bibliographic record
Abstract
BACKGROUND: Fear of COVID-19 and its related complications can negatively affect well-being and contribute to less effective daily and professional functioning. Based on Maslach's burnout concept, this study aimed to verify the relationship between risk of contracting and fear of COVID-19, occupational burnout and job satisfaction in Polish teachers during the second wave of the COVID-19 pandemic. PARTICIPANTS AND PROCEDURE: Three hundred fifty-two teachers, aged between 22 and 68, participated in this study. In the studied sample, 252 people worked remotely, 41 in-person and 59 were hybrid workers. The Risk of Contracting COVID-19 Scale, the Fear of COVID-19 Scale, the Maslach Burnout Inventory and the Brief Job Satisfaction Scale were used. RESULTS: Risk of contracting COVID-19 was positively related to fear of COVID-19 and emotional exhaustion. Moreover, fear of COVID-19 was negatively related to personal accomplishment and positively related to emotional exhaustion. Lastly, all three dimensions of occupational burnout were significantly related to job satisfaction. There was no direct relationship between fear of COVID-19 and job satisfaction. This relation was mediated by two scales of occupational burnout: personal accomplishment and emotional exhaustion. All three subscales of occupational burnout were significant predictors of job satisfaction, explaining 53% of its variance. CONCLUSIONS: The current study showed a relationship between the risk perception of COVID-19, occupational burnout and job satisfaction in Polish teachers during the second wave of the COVID-19 pandemic. The results obtained in the study may contribute to the understanding of the effects of the pandemic for the professional group of educators.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 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".