Gender differences in entrepreneurs’ work–family conflict and well-being during COVID-19: Moderating effects of gender-egalitarian contexts
Bibliographic record
Abstract
Just as for most of the world, the COVID-19 pandemic had detrimental impacts on the well-being, mental health, and productivity of entrepreneurs. To delineate these effects, the current study draws from social role theory to predict that women entrepreneurs exhibit a diminished sense of well-being compared with their male counterparts, due to the greater work–family conflict women experienced during the pandemic. The authors leverage gender egalitarianism theory to argue further that in gender-egalitarian contexts, in which women are socioeconomically, institutionally, and culturally more equal to men, this gender gap in psychological well-being, caused by work– family conflict, may be mitigated. A sample of 5,754 entrepreneurs from 27 European countries who completed Eurofound’s Living, Working and COVID-19 e-Survey confirms these predictions, with notable implications for research and practice.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".