COVID-19 Pandemic and Work-Life Balance, Work-Family Conflict, Employee Burnout
Bibliographic record
Abstract
Despite the extent of working from home during the COVID pandemic, research exploring its positive or negative effects is exceptionally scarce. Unlike the traditional positive view of working from home, we hypothesize that working from home during the COVID pandemic has triggered work-life imbalance and work-family conflict for employees. Furthermore, we suggest that work-life imbalance and work-family conflict elicit burnout in employees. Using a time-lagged design, we collected data in three waves during the peak of the first wave of the COVID-19 pandemic to test our hypotheses. Overall, we found good support for the proposed hypotheses. Working from home had a significant positive relationship with burnout. Working from home was negatively related to work-life balance and positively related to work-family conflict. Both work-life balance and work-family conflict mediated the effects of working from home on burnout. These results significantly contribute to the research on working from home and burnout and present important implications for practice and future research.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".